AI Engineer • Full-Stack Developer • Mobile Developer • Systems Architect

I am an engineer focused on designing and developing intelligent systems, scalable backend architectures, and high-quality cross-platform applications.
My work integrates advanced AI capabilities with clean, reliable engineering to build solutions that are both powerful and practical.

I specialize in:

• Artificial Intelligence & Applied Machine Learning
• Secure and High-Performance Backend Systems
• Cross-Platform Mobile Development (Flutter)
• Production-Grade Web Applications (React / Next.js)
• Large-Scale System Architecture & Automation

• LLM development and fine-tuning
• Vision systems: face recognition, document analysis, forgery detection
• Reinforcement learning (custom training environments + agents)
• OCR pipelines and multimodal reasoning engines
• Dataset creation, model quantization, and performance optimization

• Modern, highly responsive UI/UX
• Component-driven architectures
• SPA/SSR applications with React and Next.js
• Tailwind, Material UI, and custom design systems

• FastAPI, Node.js/Express, Laravel
• JWT/OAuth2 authentication and secure middleware
• Microservices & distributed systems
• Task queues, workers, and large-scale data pipelines
• Real-time communication (WebSockets)

• BLoC / Provider / Riverpod architectures
• Production-ready Flutter applications
• Firebase Auth, Firestore, Cloud Functions
• Custom animation workflows and adaptive UI

• PostgreSQL, MySQL, Redis, Firestore
• Dockerized AI and backend workflows
• CI/CD pipelines with GitHub Actions
• Linux server deployment & management

A fully verifiable national-scale voting prototype using:

• Paillier homomorphic encryption
• Zero-Knowledge Proof validation
• Shamir Secret Sharing for distributed decryption
• Merkle-Tree-based immutable audit ledger

Stack: Python • FastAPI • Cryptography • Distributed Systems

An AI system capable of clinical-grade reasoning:

• Reads and interprets medical documents
• Extracts structured data using OCR + NLP
• Highlights abnormalities and generates insights
• Provides adaptive, reasoning-based follow-up queries

Stack: TensorFlow • FastAPI • LangChain • PostgreSQL

A personal assistant with:

• Real-time facial verification
• Wake-word activation
• Voice-driven task execution
• Local LLM for offline reasoning
• System-level automation

Stack: OpenCV • TensorFlow/PyTorch • SpeechRecognition • Python

AI-powered tourism platform with:

• Automated itinerary planning
• OCR-based historical information
• Geo-aware recommendations

Stack: Flask • MySQL • NLP

• Predicts next-day market movement for NIFTY indices
• Integrates technical indicators + deep learning
• Designed for use within a production-grade Flutter UI

A curated dataset for document integrity analysis:

• OCR mismatch detection
• Metadata validation
• Signature/stamp authenticity checks