Resume / Curriculum Vitae
AI and Machine Learning Engineer
AI and Machine Learning Engineer with hands-on experience in LLM-based systems, supervised fine-tuning, AI chatbot and AI-driven product development. Skilled in building and deploying real-world AI solutions using Python, FastAPI, AI tools, with a strong focus on scalable, production-ready systems.
Backend-focused AI assistant orchestration platform using FastAPI and multi-agent architecture. Used agent routing, short-term memory handling, vector embeddings, and LLM abstractions for scalable assistant reasoning and responses.
AI-driven recruitment platform that analyzes and ranks resumes against job requirements. Supports batch CV ingestion, deep semantic reasoning, gap detection, and explainable decision scoring. Built with a hybrid LLM pipeline, Pinecone similarity search, and local embedding models.
AI meeting intelligence pipeline using a multi-tool MCP server with a unified LiteLLM client. Extracts action items with owner and deadline assignment, detects blockers and sentiment, scores meeting quality, and syncs tasks to Notion and Trello with cross-session memory.
Multi-agent system using CrewAI and Ollama-Mistral that generates tutorials based on user input. Supports local inference for privacy and speed.
Real-time AI assistant platform for automated business interactions. Designed backend orchestration, context memory, tool calling, and LLM-driven response handling with extensible APIs for voice and chat.
Built a supervised fine-tuning pipeline using Qwen3.5-0.8B to convert unstructured sales leads into structured data.
Fine-tuned DistilRoBERTa on the IMDB dataset using LoRA for efficient sentiment classification.