BHAVESH NITIN BHADANE
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in Generative AI and Machine Learning.
Highly motivated and results-driven student pursuing a M.Tech Dual Degree in AI, currently in the 4th year. Possessing a strong foundation in Artificial Intelligence, Machine Learning, Deep Learning, and Natural Language Processing. Proven ability to design and implement complex AI-driven solutions, as demonstrated through multiple self-projects in RAG systems, voice agents, and medical chatbots. Eager to apply technical expertise and problem-solving skills to innovative AI engineering challenges.
IIT Kharagpur
M.Tech Dual Degree
August 1, 2022 – June 30, 2027
Pace Junior Science College, Mumbai
Class XII Board Exam
N/A – May 31, 2021
Chavara High School, Dhule
Class X Board Exam
N/A – May 31, 2019
IIT Kharagpur
Research Intern
August 1, 2025 – November 1, 2025
India
Awaaz - Student Media Body
Sub Editor
July 1, 2024 – April 1, 2025
India
Voice Insurance Claim Agent
April 1, 2026 – May 1, 2026
Built a deployed Streamlit Voice Agent for insurance claim intake, chaining Groq Llama 3.3, Sarvam saaras:v3(ASR) and bulbul:v2 (TTS). Engineered an LLM-driven slot-filling intake that collects claim fields one turn at a time, and tracks completion across multi-turn conversation. Generated a structured JSON claim record with a unique claim ID, producing a clean repository ready for downstream processing. Handled browser voice capture and per-turn session state to enable multi-turn recording and fresh resets across the deployed app.
AI-Powered Legal RAG Assistant (Legal Assistant AI)
March 1, 2026 – April 1, 2026
Built an agentic legal Q&A system using Microsoft AutoGen with a LegalAssistant and UserProxyAgent pair and a Streamlit chat interface. Developed a RAG pipeline using LangChain and FAISS to chunk and embed the legal PDFs locally, enabling similarity search for any query. Integrated Azure OpenAI GPT-4 keeping (temperature=0) as the reasoning backend, ensuring deterministic legal clause interpretation. Implemented a tool registration pattern with both the AssistantAgent and UserProxyAgent, following AutoGen's dual-registration architecture.
AI Customer Support Workflow
March 1, 2026 – April 1, 2026
Built a 4-stage AI support agent (Groq, Llama 3.3) for end-to-end conversations, grounded in business SOPs to answer without hallucinating. Engineered a 3-layer escalation system (sentiment, out-of-scope, sub-0.55 confidence) handing off to humans with JSON-logged reasons. Designed structured JSON outputs with a LLM classifier across FAQ, lead-qualification, and summary stages, enabling auditable decisions. Automated lead qualification through structured multi-turn questioning, capturing customer details into a clean summary for human follow-up.
RAG based Medical Chatbot
February 1, 2026 – March 1, 2026
Built a medical assistant using FastAPI and JWT, implementing role-gated endpoints with MongoDB as the persistent user and session store. Developed a RAG pipeline using LangChain, Pinecone, and Google AI Embeddings to chunk, embed documents for semantic retrieval. Integrated Groq AI as the LLM backend, combining retrieved Pinecone context with system prompts to obtain appropriate medical outputs. Built a FastAPI backend separating JWT authentication, RBAC validation and workflows with structured logging across API events.
Brain Tumor Detection using YOLOv8
April 1, 2025 – May 1, 2025
Trained YOLOv8n on a curated MRI dataset of 2,176 images across four classes using Adam, Adamax, and RMSprop optimizers. Tuned training hyperparameters (batch sizes of 32–109, 25-30 epochs) to maximize detection performance in medical images. Achieved top-tier performance with Precision of 90% and Recall of 86% for tumor detection, validated via stratified sampling. Deployed a user-facing Streamlit app with real-time tumor bounding-box visualization, enabling interactive clinical inference.
Data Science & AI Masters 2025
Udemy
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
AZ-101: Applied Algorithms & Data Structures
Coursera
June 1, 2026 – Present
Supervised Machine Learning
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest and practical application in AI/ML, aligning well with an AI Engineer role. The diversity of projects (medical chatbot, brain tumor detection, legal assistant, customer support, voice agent) indicates a broad interest in applying AI across different domains. The academic background from IIT Kharagpur and participation in a student media body suggest a well-rounded individual. However, the experience level is listed as '0', and all projects are personal, which might indicate a need for more experience in collaborative, production-grade environments. The certifications are future-dated, making their current impact unclear.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and self-direction through numerous personal projects. The 'Sub Editor' role at Awaaz suggests good organizational and communication skills, including conducting interviews and publishing insights. The project descriptions are clear and detailed, indicating good technical communication. However, without specific psychometric or English test results, a comprehensive assessment of stress handling, team collaboration, and professional language usage is not possible.