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AI Engineer with 1+ years in GenAI, Python & Cloud Technologies.
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Assessing your cultural and operational fit
AI/Backend Engineer and Full Stack Web Development Trainee with 1.7 years of experience in designing and deploying scalable AI solutions. Proficient in Python, AWS, and various AI/ML frameworks like TensorFlow, PyTorch, and LangChain. Successfully built multi-modal healthcare apps, Text-to-SQL chatbots, and AI-powered PDF Q&A systems. Achieved high accuracy in data extraction using advanced AI techniques and implemented robust safety guardrails for large language models. Committed to leveraging AI to solve complex problems and drive innovation in technology.
Shantilal Shah Engineering College
B.E. · Information Technology
October 1, 2022 – June 1, 2026
Gen8
AI / Backend Engineer - Intern
May 1, 2025 – Present
India
SURE Trust
Full Stack Web Development Trainee
August 1, 2024 – February 1, 2025
India
AI-Powered Restaurant Chatbot
June 1, 2026 – Present
Built a Text-to-SQL chatbot with >95% query accuracy; enforced per-restaurant data isolation, blocked destructive SQL operations, and reduced LLM hallucinations by 95% via domain-restricted prompting. Stack: FastAPI, Supabase, Groq
View ProjectNeuroSetuAI – Dementia Detection App
June 1, 2026 – Present
Built a multi-modal healthcare app for early dementia screening integrating cognitive tests, GenAI-powered blood biomarker analysis, MRI assessments, and automated clinical report generation. Developed a GenAI chatbot for patients and doctors; built a doctor dashboard for patient monitoring and AI-assisted decision support. Stack: Python, FastAPI, Supabase, GenAI, NLP
PDFChat – AI-Powered PDF Q&A System
June 1, 2026 – Present
Built a conversational AI interface for semantic search over PDFs using LLaMA3, MiniLM embeddings, and FAISS vector search. Stack: FastAPI, Next.js, HuggingFace
View ProjectGenerative AI with LangChain & HuggingFace
Udemy
June 1, 2026 – Present
Getting Started with Deep Learning
NVIDIA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including healthcare and restaurant chatbots, indicates a broad interest in applying AI to different domains. Their involvement in hackathons and personal projects suggests a proactive and self-driven learning attitude, which aligns well with innovative and fast-paced environments. The target role of 'AI Engineer' is a strong match for their demonstrated skills and project focus. However, the candidate's experience level is still early career, which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through their diverse personal projects and hackathon achievements. Their experience with collaborative tools like Git/GitHub suggests good operational fit for team environments. The detailed project descriptions indicate an ability to articulate technical challenges and solutions, which is positive for communication within a team. However, without specific psychometric or English test results, a comprehensive assessment of stress handling, work attitude, and communication clarity beyond technical descriptions is not possible.