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AI Engineer with less than a year in Machine Learning & Generative AI
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AI Engineer specializing in Machine Learning and Generative AI, with 0.8 years of internship experience at Smart Bridge and IBM Cloud. Proficient in Python, cloud platforms like AWS and Docker, and frameworks such as TensorFlow, PyTorch, and LangChain. Demonstrates strong skills in building and deploying AI/ML solutions, including fact-checking systems, RAG chatbots, and multi-agent systems, consistently achieving impactful results and recognized for innovation in hackathons.
Vishnu Institute of Technology
B.Tech · AI & ML
August 1, 2022 – June 30, 2026
Narayana Jr College
Intermediate · MPC
June 1, 2020 – May 31, 2022
Smart Bridge
Machine Learning Intern
October 1, 2025 – March 1, 2026
India
IBM Cloud
Generative Al Intern
June 1, 2024 – August 1, 2024
India
RAG Chat Assistant - Pinecone + LLAMA
June 1, 2026 – Present
• Developed a local RAG chatbot with Pinecone namespace isolation and session-aware conversational retrieval across large PDF datasets.Implemented modular LCEL pipeline with embeddings, vector search retrieval. • Tech Stack: LangChain, Pinecone, HuggingFace, Streamlit, LLaMA 3
View ProjectFactZude - AI Fact Checker
June 1, 2026 – Present
• Built a real-time fact-checking system using LLAMA 3.3 70B and Tavily API for evidence retrieval with confidence scoring and source transparency. • Developed async FastAPI backend with Dockerized CI/CD deployment pipeline using GitHub Actions and AWS ECS. • Tech Stack: Python, FastAPI, LangChain, Docker, LLaMA 3.3, Tavily
View ProjectMulti-Agent PDF Intelligence System
June 1, 2026 – Present
• Built a 5-agent CrewAI system using Google Gemini for automated research paper analysis and structured report generation.Implemented FAISS semantic search with Streamlit interface and Docker deployment for scalable multi-document processing. • Tech Stack: CrewAI, Gemini 2.5, FAISS, Streamlit, Docker
View ProjectMachine Learning
NPTEL
June 1, 2026 – Present
Python for Data Science, AI & Development
IBM
June 1, 2026 – Present
Build Local LLM Applications using Python and Ollama
Udemy
June 1, 2026 – Present
Databases and SQL for Data Science with Python
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse range of personal projects and hackathon achievements, coupled with internships, indicates a strong passion for AI/ML and a continuous learning mindset. The focus on building practical, real-world AI solutions aligns well with an innovative and results-driven culture. The breadth of tools and technologies explored suggests adaptability and a willingness to tackle new challenges.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and hands-on approach to learning and application. Participation in hackathons and achieving first place suggests strong problem-solving, teamwork, and rapid prototyping abilities. The detailed descriptions of technical implementations imply good communication of complex technical concepts.