About Me
👋 I'm an AI Engineer focused on designing and deploying production-ready intelligent systems that solve real-world business problems. My work sits at the intersection of machine learning, large language models (LLMs), and scalable system design.
I specialize in building end-to-end AI solutions using Python, LLMs, vector databases, and modern AI frameworks—covering everything from data ingestion and model orchestration to deployment and optimization in real-world environments.
Currently working as an AI Engineer Intern, I've developed and shipped:
- AI-powered analytics and NLP pipelines for extracting structured insights from unstructured data
- Intelligent agents and virtual assistants leveraging LLMs, embeddings, and tool-calling
- Full-stack AI applications with seamless backend–frontend integration and real-time inference
My technical expertise includes Machine Learning, Natural Language Processing (NLP), LLM-based systems, AI agent development, prompt engineering, and retrieval-augmented generation (RAG). I'm particularly interested in building scalable, reliable, and impactful AI systems that move beyond demos and into production.
I'm driven by a simple goal: turn cutting-edge AI into practical, high-impact solutions.

Projects
Calling & Sales Call Analysis System
AI-powered platform analyzing calls with 20+ KPIs, role-based dashboards, and automated performance reports.
Hey Buddy – Virtual Assistant
AI assistant with voice control, browser automation, face authentication, and LLM-powered responses.
Internal Team CRM
Team management CRM with access control, task tracking, leave management, and analytics dashboards.
Superbot - NL to SQL AI Agent
AI agent converting natural language to SQL queries with vector database schema management.
Achievements
1st Prize - College Project Exhibition
Hey Buddy Virtual Assistant won first prize at the college project exhibition for innovation in AI and automation.
Completed Full Stack Java Course
Successfully completed a comprehensive 3-month Full Stack Java Development course from Symbiosis Skills and Professional in collaboration with Capgemini.
Work Experience
AI Automation Engineer Intern
Tasknova
2025 - Present
Key Highlights
- •Designed, built, and deployed production-grade AI automation systems used by internal teams, significantly reducing manual effort and improving operational efficiency.
- •Built and deployed multiple automation workflows handling hundreds of executions per week with robust error handling and monitoring.
- •Designed AI-driven pipelines for call analysis, CRM operations, and automated reporting systems.