Web • Mobile • AI • Cloud
Senior software engineer building production systems and AI infrastructure.
I build production systems across Go, Node.js, TypeScript, React, mobile platforms, cloud infrastructure and AI/LLM tooling — from APIs and microservices to developer platforms, data pipelines and intelligent workflows.
Selected engineering work
AI systems, agent runtimes, LLMOps, and engineering research.
A curated view of work I own and maintain, with public repositories where the implementation is inspectable and private systems where the code is intentionally restricted.
AIBPE — AI Behavioral Provenance Engine
View case study →Vendor-neutral runtime for structured AI/LLM/agent evidence, behavioral provenance, dependency fingerprints, trajectory comparison, interventions, and evidence artifacts.
Inspect the implementation ↗AI Change Impact Engine
View case study →Explainable pre-release blast-radius forecasting using dependency graphs, historical outcomes, behavioral cohorts, risk features, and release policy gates.
Inspect the implementation ↗LLMOps Control Plane
View case study →Reference architecture for operating LLM applications with model/provider abstraction, versioned prompts, RAG, evaluation gates, telemetry, metrics, Docker, Kubernetes, and CI/CD.
Inspect the implementation ↗Personal AI Runtime
View case study →User-controlled runtime with persistent local memory, workload-aware model routing, explicit local-only policy enforcement, scoped tools, durable workflows, and bounded orchestration.
Inspect the implementation ↗Agent Capability Formation Standard
View case study →A governance-oriented standard for retaining, evaluating, revising, and reusing durable agent-contributed observations, procedures, policies, skills, and evidence.
Read the standard ↗Local Reasoning Fabric
View case study →Local-first reasoning stack covering agent behavior, tool use, verification, structured work products, memory, SFT, evaluation, and Gemma-based training/deployment workflows.
Inspect the implementation ↗AI Fabric
View case study →Private enterprise automation and AI orchestration platform baseline with durable workflow interfaces, immutable versions, tenant-scoped idempotency, run history, retries, cancellation, and replay.
Private repository · selected architecture available on requestAstra AGI Runtime
View case study →Private production-oriented agent runtime separating cognition from control, with durable state, persistent memory, policy and authorization gates, sandbox boundaries, verification, receipts, and governed self-improvement.
Private repository · selected architecture available on requestEnterprise Reasoning Strategy Framework
View case study →Private reasoning architecture built around structured decision proposals, independent verification fabrics, deterministic authorization gates, and calibrated test-time compute.
Private repository · architecture and live work can be discussed
About
Practical engineering backed by product ownership and delivery discipline.
Senior software engineer focused on backend architecture, distributed systems, cloud delivery, and AI-enabled products. I work across Go, Node.js, TypeScript, React, mobile platforms, and production infrastructure.
My work spans product delivery and engineering systems: real-time applications, partner integrations, data pipelines, developer tooling, AI/LLM workflows, and production platforms where reliability and maintainability matter.
Microservices and API architecture with Go, Node.js, GraphQL, REST, and event-driven systems
Cloud delivery using Azure, AWS, Docker, Kubernetes, Terraform, and GitHub Actions
Cross-platform product delivery with React, Vue, React Native, and Android (Kotlin and Java)
AI, ML, and LLM integrations for mentoring, summarization, anomaly detection, and automation
Engineering capabilities
Where I contribute across the stack.
A senior-engineering view of the systems I design, build, operate, and help teams deliver.
Distributed backend systems
Go and Node.js services, API gateways, authentication, audit, data flows, event-driven architecture, and resilient microservices.
Product & frontend systems
React, Vue, TypeScript, and API-driven product interfaces with attention to usability, performance, and maintainability.
Mobile platforms
React Native and Android applications with real-time sync, notifications, secure authentication, integrations, and release readiness.
AI & LLM engineering
LLM-powered workflows, agent runtimes, evaluation, provenance, RAG, model integration, and AI-assisted product features.
Cloud & delivery
Azure and AWS delivery with Docker, Kubernetes, Terraform, GitHub Actions, observability, and release automation.
Architecture & leadership
Architecture reviews, technical direction, roadmap execution, engineering standards, mentoring, and cross-team delivery.
Skills
Core capabilities across architecture, product, and delivery.
Updated from CV and LinkedIn data to reflect current technical depth and toolchain.
Languages
GoTypeScriptJavaScriptKotlinJavaPythonSQLPHP (Laravel)
Frontend & Mobile
ReactVueNext.jsNuxtReact NativeAndroid NativeHTML5CSS3Bootstrap
Backend & Realtime
Node.jsExpressGraphQLREST APIsgRPCSocket.IOKafkaWebSocketMicroservices
Data & Infrastructure
MongoDBMySQLPostgreSQLRedisCassandraAWSAzureDockerKubernetesTerraformAnsibleCI/CD
Engineering and domain strengths
Cloud infrastructure (Azure, Docker, Kubernetes)Event-driven systems (Service Bus, Redis)Test automation (Cypress, Jest)Software infrastructureDynatraceApiroDelivery leadershipMentoring
Selected product experience
Production work across product, commerce, EdTech, mobility, and public-sector systems.
A concise view of professional delivery. Public implementation is showcased separately above; confidential work is described only at a high level.
Developer platform · Private product
Openship
Self-hosted deployment platform designed to bring a Vercel-like workflow to a Linux VPS, with CLI-first delivery, builds, HTTPS, live logs, health checks and rollback.
View product detail ↗
AI learning
Elance Learning
EdTech platform with AI mentoring and content workflows, powered by microservices and scalable web and mobile apps.
Commerce
FreshToHome
Large-scale commerce platform and delivery ecosystem with partner integrations, analytics pipelines, and automation.
Marketplace
Markkito
Marketplace product supporting sellers, catalogs, and workflow automation for growth-focused operations.
Finance
Xpense.Pro
Expense management and reporting product with role-driven workflows, data integrity, and fast interfaces.
Healthcare
Ur Vitals
Healthcare management platform for patient records, workflows, and integration-heavy operational processes.
Public sector
Court Mzadat
Government auction platform built for reliability, secure workflows, and scalable app usage in production.
Engineering impact
Outcomes behind the technology.
Selected results documented across the CV and professional profile.
users
Customer-facing products and systems serving more than 100,000 users.
transactions / day
Production commerce workloads supported through service and data-platform engineering.
data processing
Documented improvement associated with Kafka and Redshift pipeline work.
reporting time
Documented reduction through reporting and query optimization work.
release-cycle reduction
Documented improvement through CI/CD and delivery automation.
uptime
Documented reliability outcome for learning-platform delivery.
Writing
Thinking in public.
Technical writing across AI, software engineering, observability and developer systems.
AI Architecture · Sep 2026
OpenHuman and the Architecture of Personal AI Runtimes
Personal AI runtimes, memory architecture and persistent AI systems.
Read on Medium ↗ AI Security · Feb 2026Why Local AI Agents Are Powerful — and How to Secure Them
Security considerations for agents operating across local files, browsers and systems.
Read ↗ Observability · Jan 2026I'm Not a Dynatrace Expert — Here's What Actually Helped Me
Topology, traces and anomaly-driven observability.
Read ↗ LLM Engineering · Apr 2025Building Scalable LLM-Powered APIs with Node.js and AWS Lambda
Serverless LLM API architecture with Node.js, Lambda and Docker.
Read ↗ AI · Privacy · Jun 2025What I Discovered About Meta AI Inside WhatsApp
A privacy and prompt-engineering test of AI behavior.
Read ↗ Software History · Dec 2025The $9 Billion “Hello World”: Did Google Steal Android's Soul?
A software engineer's look at the Google–Oracle Android dispute.
Read ↗Experience
9+ years shipping software across enterprise platforms, commerce, mobility, and AI.
A systems-first career path — from Android engineering at TCS to enterprise Go services and governed AI platforms.
Jun 2025 – Present
Enterprise digital platforms · Confidential
SHELL GLOBAL · ASIA SCOPE
SHELL GLOBAL · PLATFORM ENGINEERING
Senior Software Engineer — Shell Global (via GoStack)
Working on Shell's global mobility and non-fuel retail digital platform, spanning backend services and frontend systems. Current work includes Go microservices for API gateway, authentication, audit, offers, NFR and points ingestion; a Node.js Partner Hub service; React 18 + TypeScript features with React Query and Material UI; shared Cypress/Jest automation; telemetry and auth improvements; and Azure delivery with Docker, Kubernetes, GitHub Actions, Terraform and Ansible.
Offer & campaign management journeys
Supporting enterprise offer lifecycle and transaction workflows with a focus on secure APIs, auditability, reliability, observability and release quality. Internal product names and implementation details remain intentionally undisclosed.
GoNode.jsReact 18TypeScriptReact QueryAzureKubernetesGitHub ActionsTerraformDynatrace
API, audit, authentication & telemetry
Contributing to cross-service platform capabilities that improve authentication, audit trails, partner transaction ingestion, automated testing and production observability across critical digital journeys.
MicroservicesGraphQLPostgreSQLMongoDBRedisCypressJestObservability
Jul 2024 – Jun 2025
EdTech · AI engineering
Lead / Senior Software Engineer — Elance Learning
Architected scalable EdTech capabilities across Node.js, Go, React, Vue and TypeScript; engineered highly available microservices; integrated Mistral 7B, LangChain, Whisper and LLM APIs for content summarization, AI mentoring and Generative AI; and led delivery, reviews and mentoring.
Node.jsGoReactVueMistral 7BLangChainWhisperDockerKubernetes
Feb 2022 – Jul 2024
Commerce · Data platforms
Senior Software Engineer — FreshToHome Foods Pvt. Ltd.
Developed customer-facing web and mobile systems for an e-commerce platform serving 100K+ users; built Node.js microservices and Kafka/Redshift data pipelines; optimized MongoDB/MySQL for 5K+ SKUs; and improved analytics/reporting performance.
Node.jsReactReact NativeKafkaRedshiftMongoDBMySQLAWS
Dec 2019 – Feb 2022
Full stack · Mobile · Cloud
Software Engineer — Codelattice Digital Solutions Pvt. Ltd.
Built scalable web and mobile applications with Node.js, React, React Native, Android, MEVN/MERN and AWS; implemented microservices handling 10K+ daily transactions; and delivered REST/GraphQL APIs across business and mobile products.
Node.jsReactReact NativeAndroidGraphQLAWSMongoDBMySQL
Jan 2019 – Dec 2019
Web platforms
Full Stack Developer — Zemose Pvt. Ltd.
Built responsive web applications and backend services using MEAN/MERN, Node.js, React, Angular, MongoDB, MySQL and AWS, with focus on API design, data modelling and Agile delivery.
Mar 2018 – Jan 2019
Mobile engineering
Mobile App Developer — VTOQA Inc.
Developed native Android and React Native applications, implemented Firebase/Firestore integrations, improved application load times by 35%, and helped reduce the bug backlog by 75%.
AndroidJavaReact NativeFirebaseFirestore
Mar 2017 – Jul 2017
Foundation · Enterprise
Android Developer Intern — Tata Consultancy Services (TCS)
Developed Android components and integrations using Java, Android SDK, XML, SQLite and Gradle, completing the internship project ahead of schedule.
JavaAndroid SDKXMLSQLiteGradle
Systems portfolio
From enterprise transaction engines to governed AI runtimes.
A deeper view of the systems behind the career timeline. Public implementations are linked; confidential work is presented at a non-sensitive architecture level.
Offer & Campaign Management Platform
Transaction-first product architecture covering brief qualification, matching, shortlist, offer, rights, contract, payment, workroom, deliverables, approval/revision, completion and repeat campaigns, with tenant-aware authorization, idempotency, auditability and resilient event handling.
TypeScriptNode.jsPostgreSQLState machinesRBACIdempotencyOutbox
Private architecture · implementation intentionally restricted
Transactional Outbox — Go + PostgreSQL
View case study →Production-oriented reference implementation for reliable event publication across transactional boundaries, making failure handling and consistency explicit.
View architecture snapshot
HTTP API→
Order Service→
PostgreSQL
orders + outbox transaction→ Outbox Relay→ Publisher→ Message Broker→ Idempotent Consumer
orders + outbox transaction→ Outbox Relay→ Publisher→ Message Broker→ Idempotent Consumer
Consistency boundary: business state and its corresponding durable outbox event are committed in the same database transaction.
Failure model: delivery is treated as at-least-once; retries, duplicate publication, ordering and consumer idempotency remain explicit concerns.
ToolboxHook
Host-capability-aware engineering orchestration for discovery, capability checks, routing, execution, testing, verification and GitHub delivery.
View case study ↗AI Memory Gate
View case study →Platform-neutral AI memory and tool-authority control plane spanning identity, policy evaluation, approvals, protected execution, encrypted memory and audit records.
Private repository · selected architecture available on requestAI Fabric
View case study →Enterprise automation and AI orchestration baseline with durable workflow interfaces, immutable versions, tenant-scoped idempotency, retries, cancellation and replay.
Private repository · selected architecture available on requestAstra AGI Runtime
View case study →Production-oriented agent runtime architecture separating cognition from control with durable state, persistent memory, policy gates, sandbox boundaries, verification and governed self-improvement.
Private repository · architecture available on requestOpenship — Self-Hosted Deployment Platform
Vercel-like developer experience for Linux VPS infrastructure: CLI-first deployments, Nixpacks builds, Docker Compose runtime, Caddy + Let's Encrypt, SSE logs, health checks and rollback-aware deployment state.
FastifyNext.jsBullMQRedisDocker ComposeCaddyNixpacksPrisma
View product case study ↗
AIBPE — AI Behavioral Provenance Engine
View case study →Vendor-neutral runtime evidence system for AI/LLM/agent behavior, trajectory comparison, dependency fingerprints, interventions and evidence artifacts.
Inspect the implementation ↗ Public cloud demo ↗ Customer deployment ↗AI Change Impact Engine
View case study →Explainable pre-release blast-radius forecasting using dependency graphs, historical outcomes, behavioral cohorts, risk features and release gates.
Inspect the implementation ↗LLMOps Control Plane
View case study →Production-minded architecture for LLM applications with model/provider abstraction, versioned prompts, RAG, evaluation, telemetry and containerized delivery.
Inspect the implementation ↗Personal AI Runtime
View case study →User-controlled local agent runtime with persistent memory, workload-aware model routing, local policy enforcement, scoped tools and durable workflows.
Inspect the implementation ↗Credentials & recognition
Selected learning credentials and professional recognition.
Relevant credentials are kept concise so professional experience and engineering work remain the primary signal.
Software Engineering Management Systems
Shell • Issued Dec 2025 • Skills: Software Project Management
MERN Stack
Udemy • Issued Feb 2019 • Skills: Software Development
Software Development Fundamentals
NASSCOM • Issued Feb 2018 • Skills: MongoDB, OOP
Linux Ubuntu OS Certification
IT@School Project, Government of Kerala • Issued Dec 2010
Software Developer Certification
Tata Consultancy Services (TCS) • Issued 2018
Honors and recognition
Software Developer (NASSCOM, 2018), NSS Social Activities (University of Calicut), Linux Workshop, Child Film Festival Workshop, Certificate of Merit.
Education
Academic foundation and continuous learning.
Formal education in computer science, followed by AI and software specialization tracks.
2025 – 2026
upGrad
Executive Diploma in Machine Learning and AI; focus areas include MLOps, Generative AI, and Agentic AI.
2014 – 2018
Calicut University, Thenhipalem, Malappuram
Bachelor of Science in Computer Science (Computer Science, Mathematics, Electronics). Activities: NSS.
2012 – 2014
Higher Secondary Education (Computer Science)
Government Higher Secondary School Niramaruthur, Kerala.
Contact
Let’s build something that needs real engineering depth.
Open to senior software engineering, AI systems, architecture, and product engineering collaboration across backend, cloud, web, and mobile.
