Liquid Glass 2.0
Proof-first Bento grid
Frosted glass cards with container-query intelligence, highlighting velocity, reliability, and measurable outputs.
Eval-driven delivery
Golden sets + adversarial synthetic tests. Blocking regressions and monitoring hallucination risk before release.
Fine-tuning accuracy
+20%
Domain-specific accuracy with QLoRA fine-tuned Mistral 7B
Click to view project →
Retrieval latency
-15%
Hybrid search optimization with Pinecone and ChromaDB
Click to view project →
AI projects
6
Production-ready AI applications deployed
Click to view project →
Full-stack experience
4+ years
MERN stack and AI-powered web applications
Performance under budget
Prompt packing, cache tiering, and hybrid retrieval keep p95s low while maintaining factuality.
Policies and observability
Structured output validation, safety classifiers, and per-route scorecards visible in dashboards.
Evidence over claims
Projects with measurable impact
Glass cards highlight the problem, architecture, and measurable outcomes for each build.
SheetBrain-AI
Enterprise teams needed automated spreadsheet error detection and formula auditing with policy compliance checks.
Engineered an AI-powered formula auditing tool using TypeScript and Google Apps Script. Designed real-time recommendation engines with policy compliance checks and intelligent formula insights. Created seamless integration between cloud spreadsheets and LLM APIs.
Legal-FAQ-Assistant
10/2025 — 11/2025Legal Q&A systems lacked domain-specific accuracy and data privacy compliance for sensitive legal queries.
Fine-tuned Mistral 7B using QLoRA, achieving 20% increase in domain-specific accuracy. Architected a secure pipeline with AES-256 encryption and containerized deployment via Kubernetes. Optimized model inference for accurate legal responses.
Multimodal-AI RAG App
Organizations needed to query multi-format documents with fast retrieval and contextual reasoning across different file types.
Developed full-stack RAG application with FastAPI and React.js. Implemented hybrid search pipeline using Pinecone and ChromaDB, reducing retrieval latency by 15% through optimized metadata filtering. Integrated Google Gemini API for contextual reasoning.
Babel-Fish-Assistant
Real-time voice translation systems lacked seamless integration of speech recognition, translation, and natural voice synthesis for cross-language communication.
Developed a production-ready real-time voice translator integrating Deepgram STT and ElevenLabs TTS with GPT-4o-mini for high-accuracy cross-language processing. Built full-stack application with Next.js 14 and Flask backend for low-latency audio streaming.
Multi-Agent-AI-System
Complex AI tasks required autonomous orchestration of multiple specialized agents with tool-based workflows and collaborative decision-making.
Engineered a Multi-Agent AI System capable of autonomous task decomposition and execution using tool-based workflows and collaborative agent architectures. Implemented agent coordination patterns with TypeScript for reliable multi-step task completion.
AI-Powered-Meeting-Assistant
Manual meeting note-taking consumed significant time while missing key action items and decisions requiring follow-up.
Built a modern meeting intelligence platform that transcribes live audio and generates actionable summaries using state-of-the-art NLP models. Implemented real-time speech-to-text processing with Python and Flask, reducing manual note-taking time.
Technical credibility
Stack, tools, and how they are used
Interactive honeycomb shows exactly how each technology is applied in production workflows. Click to see implementation.
Large Language Models
Gemini, LLaMA, Mistral - fine-tuning and inference
→ Legal-FAQ-Assistant
LLM Fine-Tuning
LoRA, QLoRA, PEFT for domain optimization
→ Legal-FAQ-Assistant
RAG Architectures
Hybrid search and semantic retrieval
→ Multimodal-AI RAG App
Vector Databases
Pinecone, ChromaDB, FAISS for embeddings
→ Multimodal-AI RAG App
FastAPI
Asynchronous AI inference pipelines
→ Multimodal-AI RAG App
React.js & Next.js
AI-powered full-stack applications
→ Babel-Fish-Assistant
Python
AI systems and backend development
→ AI-Powered-Meeting-Assistant
Docker & Kubernetes
Containerization and AI deployments
→ Legal-FAQ-Assistant
Prompt Engineering
Structured outputs and agentic workflows
→ Multi-Agent-AI-System
PostgreSQL
Database architecture and SQLAlchemy ORM
→ SheetBrain-AI
Experience
Roles, outcomes, and delivery
Vertical timeline with glass connectors and measurable achievements for each role.
Full Stack Developer
Freelance01/2021 — Present- Designed and developed dynamic web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js).
- Created modern, responsive user interfaces utilizing Tailwind CSS, Bootstrap, and Sass.
- Developed and integrated secure REST APIs and managed authentication solutions like JWT and OAuth.
- Managed database architectures and optimized query performance using Mongoose and PostgreSQL.
- Deployed and maintained production applications on cloud platforms including Vercel, Netlify, and Heroku.
- Optimized website performance and SEO (Core Web Vitals) to improve search rankings and user retention.
- Conceived and maintained custom WordPress sites, including theme and plugin development.
- Developed interactive frontend functionality with JavaScript and backend logic in PHP.
- Integrated AI-powered features using LLM APIs (chatbots, document analysis, automation tools).
- Designed backend services for AI inference and data processing.
Education & Certifications
Academic background and training
Formal education, professional certifications, and specialized training programs.
Professional Certificate, AI Developer
- Completed an intensive 10-course program focusing on the Full Stack AI Development lifecycle.
- Developed core competencies in Generative AI, Prompt Engineering, and building AI-powered applications.
- Gained hands-on experience in Python for Data Science, FastAPI/Flask, and creating specialized AI chatbots.
- Completed rigorous project-based training in modern web technologies and software architecture.
- Specialized in the MERN stack and professional agile development methodologies.
Bachelor of Science, Physics & Chemistry
- Completed foundational coursework in physical sciences and mathematical analysis.
High School Diploma, Physics & Chemistry
- Focused on advanced mathematics, physical sciences, and chemical engineering foundations.