About Me
AI Engineer with 11 Months Production Experience
Specializing in LLMs, Generative AI, and Voice AI. Delivered 5+ production AI projects achieving 95%+ accuracy, including multi-agent platforms and real-time voice AI systems.
Services
LLM & Generative AI Development
Build production-grade LLM applications using GPT-4, Claude, LLaMA, and Mistral. Expert in prompt engineering, fine-tuning, and RAG pipelines for enterprise use cases.
Multi-Agent AI Systems
Architect multi-agent platforms with LangGraph, MCP, and A2A communication. Specialized agents with seamless handoff, tool integration, and ReAct framework orchestration.
Voice AI Solutions
Real-time voice AI pipelines using LiveKit, WebRTC, Whisper STT, and OpenAI TTS. Sub-500ms latency with 94%+ transcription accuracy for production deployments.
RAG & Vector Search
Design and deploy Retrieval-Augmented Generation systems using FAISS, ChromaDB, Pinecone, and Amazon Bedrock Embeddings for intelligent enterprise knowledge retrieval.
Cloud AI Deployment
Deploy and scale AI systems on AWS (S3, EC2, Lambda, Bedrock) and Azure AI Foundry. Containerized with Docker, monitored with LangWatch for production reliability.
AI-Powered Backend APIs
Build robust FastAPI backends integrating AI capabilities with PostgreSQL, MongoDB, and Redis. RESTful APIs powering intelligent applications at scale.
Academic Skills
Data Structures
Understanding and implementation of various data structures like arrays, linked lists, stacks, queues, trees, and graphs for efficient problem-solving.
Algorithms
Proficiency in algorithm design and analysis, including sorting, searching, dynamic programming, and greedy algorithms.
Cloud Computing
Experience with cloud platforms and tools, including AWS, Azure, and GCP for building and scaling applications.
Machine Learning
Knowledge of machine learning models, supervised and unsupervised learning
Data Science
Expertise in data analysis, visualization, and statistical modeling using tools like Python, Pandas, Matplotlib
Shell Scripting
Automation of tasks and system administration using Bash and other scripting tools.
MongoDB
Experience in NoSQL database management and querying with MongoDB.
MySQL
Proficiency in relational database management using MySQL for optimized querying and data storage.
JavaScript
Building modern web applications using JavaScript for both frontend and backend.
Java
Strong understanding of core Java concepts and object-oriented programming for building scalable applications.
IoT
Knowledge of IoT systems, including sensor integration and cloud communication.
Artificial Intelligence
Introduction to AI concepts, natural language processing, and neural networks.
Android Studio
Proficiency in Android app development using Android Studio, including Java/Kotlin programming, UI/UX design, and app debugging.