S
Initializing Experience

0%

Loading Assetsv1.0.0
NO.012026
SIDHARTH

Full Stack Developer crafting AI-powered experiences

View Work
Available
Engineer • Designer • Creator • Visionary •Engineer • Designer • Creator • Visionary •
NO.02

Capabilities

Tech_Stack
001Spec_Sheet

Frontend

HTML5/CSS/JSTypescriptReactNext.jsSASSTailwind CSS
002Spec_Sheet

Backend

Node.jsExpress.jsPythonFastAPI
003Spec_Sheet

Databases

MongoDBCosmos DB
004Spec_Sheet

Cloud/DevOps

AWSAzureJenkinsNginxBicepLinuxCI/CD Pipelines
005Spec_Sheet

AI/ML

Agentic AILangChainHuggingFaceMCPGenAIOpenAIGeminiAzure AIClaudeRAG/RAG 2.0/Agentic Rag/Graph Rag
006Spec_Sheet

Tools

GitPostmanVS CodeCursorWindsurfAntigravityClaude CodeGitHub CopilotCodexExcelPowerPointWord
007Spec_Sheet

Other

REST APIsJWTWebSocketsJSON
PR
NO.03

Selected Works

(27 Projects)
ChessArena.ai
Full Stack#01

ChessArena.ai

AI Chess Arena is a modern, high-performance web application featuring a 3D chess board where you can pit different Large Language Models (LLMs) against each other or play against them yourself.

Next.jsGeminilangchainLangGraph.js
Sim.ai
Full Stack#02

Sim.ai

Autonomous AI agent living in a 3D voxel world. The agent survives, builds, learns, and evolves through persistent memory — all decisions made by AI, no human input required.

Next.jsMongoDBGeminilangchainLangGraph.js
Mind Train
AI/ML#03

Mind Train

A personal AI assistant fine-tuned on TinyLlama to answer questions about me.

TinyLlamaPythonQLoRAHuggingFaceunslothpytorch
GENIE
Full Stack#04

GENIE

GENIE is a modern, full-stack template designed for building AI agents using LangGraph.js on the frontend and Model Context Protocol (MCP) on the backend. It combines a high-performance Next.js 15 client with a flexible Python server, offering a robust foundation for intelligent applications.

Next.jsMongoDBPythonGeminiAgentic AIlangchainLangGraph.jsMCP
SPARC (Syntax & Programmatic Assistance Resource Component)
AI/ML#05

SPARC (Syntax & Programmatic Assistance Resource Component)

SPARC (Syntax & Programmatic Assistance Resource Component) is a command-line chat application that acts as an AI/ML coding assistant. It leverages the power of Google's Gemini Pro model to understand and respond to your coding-related queries. SPARC can interact with your file system, read and write files, execute code, and even generate diagrams to provide a seamless and efficient development experience.

PythonGeminiBashAgent
NO.04

Experience

5.4YRS XP
Aug 2024 – Present

KellyOCG

GenAI Full Stack Developer

GRACE Boost - AI-powered browser extension

Azure, Azure AD, OpenAI, Typescript, Node.js, Cosmos DB, Preact, ESBuild

  • Architected a production AI browser extension (Manifest V3) with a domain-aware injection system using deduplication guards and a server-driven dynamic configuration API for zero-redeployment logic updates.
  • Engineered an AI agent system using Azure OpenAI function calling to power specialized recruiter tools — summary generation, editing, ATS-optimized resume writing, and branded job postings with 7 templates.
  • Built a dual-mode AI chatbot featuring a general assistant and a Bullhorn-specialized recruiter agent with tool use, multi-turn parameter collection, and structured JSON formatting for UI rendering.
  • Developed an intelligent page parsing and reinjection engine that extracts form data from nested Bullhorn iframes and simulates full user interaction events (mousedown, input, blur) to write AI-generated content.
  • Created a generic page analyzer that programmatically scans host forms to classify Novo UI components (pickers, chips, editors), producing structured snapshots for context-aware AI processing.
  • Built a multimodal pipeline supporting PDF, DOCX, XLSX, and images via Azure Document Intelligence with Worker Thread fallback; implemented secure Multer storage with automatic temp file cleanup.
  • Implemented secure Azure AD OAuth 2.0 with RS256 JWT validation, automatic token refresh on 401s, and server-side JWKS caching with exponential backoff retry logic for high availability.
  • Designed a Cosmos DB layer across 4 containers for chat history and telemetry; implemented Zustand-based state management with dual access patterns for cross-context sharing between scripts and Preact components.
  • Integrated Databricks SQL for AI-ranked candidate retrieval and built a Shadow DOM-isolated, draggable floating UI with click-vs-drag detection and context-aware menus to prevent CSS collisions.
  • Developed a comprehensive telemetry system capturing token usage and tool traces for PowerBI dashboards, alongside a network diagnostics endpoint and React ErrorBoundary components for graceful recovery.
  • Optimized bundle size to <300KB using ESBuild tree-shaking and code splitting; established a multi-environment CI/CD pipeline on Azure DevOps with infrastructure provisioning via Bicep/ARM templates.
  • Successfully delivered the entire end-to-end extension within 1 month by leveraging AI coding assistants (Claude, Gemini, Codex) to automate the SDLC and complex boilerplate generation.

Project GRACE 2.0 - GenAI Chat Application

Azure, Azure AD, OpenAI, Gemini, Claude, Next.js, Cosmos DB, Bicep, ESLint, MCP, Agentic AI, RAG, LangChain

  • Worked on GRACE, an enterprise-grade AI chat platform using Next.js 14, React 18, TypeScript, and Tailwind CSS, deployed on Azure for organization-wide use across Kelly Services.
  • Engineered a multi-model AI orchestration layer integrating Azure OpenAI (GPT-4), Anthropic Claude, Google Gemini, and Perplexity APIs, enabling context-aware conversations with configurable persona-based workflows.
  • Built a Retrieval-Augmented Generation (RAG) pipeline using Azure AI Search and Azure Blob Storage, enabling users to upload and query documents with AI-powered citation-backed responses.
  • Designed and implemented 10+ domain-specific AI agents with custom prompt engineering, file processing, and extension frameworks.
  • Developed a full document intelligence pipeline integrating Azure Document Intelligence and Azure Blob Storage for automated document parsing, OCR, and multi-format file processing.
  • Implemented enterprise authentication and RBAC using NextAuth with Azure AD, role-based access control, and Azure Key Vault for secrets management across a multi-tenant architecture.
  • Built a database migration framework with 40+ versioned migrations on Azure Cosmos DB, ensuring zero-downtime schema evolution for production deployments.
  • Integrated multimodal capabilities including DALL-E image generation, GPT-4 Vision for image analysis, and Azure Speech Services for text-to-speech/speech-to-text functionality.
  • Developed a reporting and analytics dashboard with usage tracking, conversation logging, and admin tooling for monitoring platform adoption and AI model performance.
  • Achieved full Veracode compliance by leveraging Claude for deep security inspections and automated remediation of high-severity vulnerabilities, while leading monthly security updates based on penetration test feedback.
  • Optimized mobile experience with dynamic textbox resizing (95% user satisfaction) and implemented prompt library functionality for custom prompt management.
  • Introduced AI agent capabilities with LangChain and MCP (HTTP) integration for advanced tool-use and automation.
  • Engineered a self-healing UI automation workflow using browser-use AI library to validate complex GRACE interface features, ensuring regression-free deployments of dynamic AI components.
Apr 2023 – Jun 2024

Poumki Digital LLP

Full Stack Developer

Project Convergence - Data Analytics Platform

MERN Stack, AWS, Jenkins, Nexus, Linux, Nginx

  • Architected a scalable CI/CD infrastructure using self-hosted Jenkins runners on AWS EC2, integrating Nexus and S3 to reduce artifact storage costs by 30%.
  • Engineered a robust rollback pipeline system, significantly improving deployment reliability and minimizing production downtime.
  • Implemented high-concurrency real-time features using Socket.IO and developed JWT-authenticated REST APIs with 100% unit test coverage.
  • Automated disaster recovery by developing AWS Lambda-based MongoDB backup scripts, ensuring data integrity and high availability.
  • Enabled full observability with Winston and LogLevel logging for production monitoring.
  • Implemented optimized pagination and search filters on the frontend to enhance data accessibility for large analytics datasets.

Project e-slide - Presentation Sharing Platform

React, SASS, DynamoDB, AWS Lambda, Amplify, GraphQL, PostgreSQL

  • Architected a highly scalable presentation rendering engine using React and GraphQL, supporting multi-format document uploads and real-time state synchronization.
  • Implemented a serverless backend architecture using AWS Amplify and Lambda, optimizing for global availability and reduced operational overhead.
  • Developed a granular user moderation system with complex access control logic and PostgreSQL-based persistence to ensure community safety.
  • Optimized asset delivery and frontend performance, achieving a 40% reduction in slide load times for international users via CloudFront/S3.
  • Added comprehensive multilingual support using React-i18next for a global audience.

Project Izycourse - Online Course Platform

React, SASS

  • Engineered a responsive e-learning platform featuring advanced progress tracking, interactive course modules, and seamless student enrollment workflows.
  • Optimized UI/UX performance and accessibility, resulting in a 25% increase in mobile engagement and achieving full WCAG compliance.
  • Implemented comprehensive multilingual support using React-i18next, enabling a localized experience for a global student base.
Mar 2021 – Apr 2023

Tata Consultancy Services (TCS)

Full Stack Developer - Rapid Labs

AI/ML Prototypes for Healthcare

AngularJS, Python, Django, Vue.js, Flask

  • Spearheaded the development of healthcare-focused AI prototypes, including a NLP-driven ticket classification system (85% accuracy) and a computer vision model for ulcer detection (92% precision).
  • Engineered full-stack pilot applications using Django and Vue.js/AngularJS to demonstrate AI model feasibility and clinical value to stakeholders.
  • Managed the end-to-end ML lifecycle for research prototypes, from data preprocessing and augmentation to model deployment and UI integration.
Jan 2020 – Mar 2021

Tata Consultancy Services (TCS)

Site Reliability Engineer

SRE Automation Tools

.NET, MySQL, C#

  • Engineered the 'Core Analysis Tool' in C#/.NET, reducing ServiceNow ticket resolution time by 50% (2x faster) through automated root cause analysis.
  • Developed the 'Akamai Report Generator' and 'Auto Delegation Tool' to automate complex data validation, saving 500+ manual work hours annually.
  • Optimized system monitoring and incident response pipelines, significantly reducing MTTR for critical production environments.
NO.05

Education

Oct 2025 – Current

Master of Computer Applications (MCA) - AI/ML

Amrita Vishwa Vidyapeetham

Jul 2017 – Sep 2020

Bachelor of Computer Applications (BCA)

VLB Janakiammal College of Arts and Science, Coimbatore