AI Engineer with less than a year in AI/ML & Data Science.
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Henil Bhavsar is a driven Jr. Python Developer with 7 months of professional experience in building web scraping and automation pipelines for large-scale data acquisition. Adept in AI/ML, NLP, and Generative AI, he has successfully processed millions of records and developed APIs for data delivery. His project experience includes fine-tuning LLMs, building RAG-based AI assistants, and developing AI-powered data analysis platforms. He is currently pursuing a BE in Computer Engineering & Application.
LJ University
BE · Computer Engineering & Application
August 1, 2022 – June 30, 2026
Xbyte
Jr. Python Developer
December 1, 2025 – June 1, 2026
Ahmedabad, Gujarat, India
Medlexfin
June 1, 2026 – Present
• Fine-tuned Mistral 7B using QLoRA (4-bit) on domain-specific datasets (medical, legal, finance). • Achieved measurable improvements in ROUGE and BERTScore, enhancing accuracy and reasoning. • Deployed on Hugging Face for scalable real-world inference.
DocMind - AI Document Assistant
June 1, 2026 – Present
• Built a RAG-based system for conversational querying over PDFs. • Implemented context retrieval using vector databases and LangChain for accurate responses. • Developed a FastAPI backend to deliver real-time, context-aware answers.
View ProjectDataSage - AI Data Analysis Platform
June 1, 2026 – Present
• Developed an AI-powered platform for automated data profiling and visualization. • Integrated a conversational AI agent for natural language dataset exploration. • Built end-to-end data pipelines for processing and insight generation.
View ProjectBuilding with the Claude API
Anthropic
June 1, 2026 – Present
Introduction to Programming (HTML, CSS, JavaScript)
Johns Hopkins University
June 1, 2026 – Present
Machine Learning Using Python
IBM
June 1, 2026 – Present
Exploratory Data Analysis for Machine Learning
IBM
June 1, 2026 – Present
Building Generative AI-Powered Applications with Python
IBM
June 1, 2026 – Present
AWS Cloud Technical Essentials
Amazon Web Services (AWS)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including Medlexfin (medical, legal, finance domains), DocMind (document assistance), and DataSage (data analysis), showcases a broad interest and adaptability, which aligns well with a dynamic AI engineering environment. Their proactive pursuit of certifications and self-driven project development indicates a strong learning mindset and passion for the field. The experience with web scraping and data engineering, while not directly AI, demonstrates a practical, results-oriented approach that can be valuable in data-intensive AI roles. The candidate's current education status (still pursuing a bachelor's degree) suggests a high potential for growth and a fresh perspective.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through personal projects and LeetCode achievements. Their experience in collaborating with clients for requirements and data delivery suggests good communication and teamwork potential. The ability to manage large-scale data acquisition and processing indicates a detail-oriented and reliable operational fit. However, the limited professional experience (6 months) means their ability to navigate complex organizational structures and long-term project management is yet to be fully tested.