MLOps Engineer with less than a year in Agentic AI, LLMOps, and Data Science.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated AI & Machine Learning Intern with a strong foundation in Generative AI, Neural Networks, and MLOps. Proficient in Python, cloud platforms like GCP, and various AI/ML frameworks. Successfully led academic projects such as FutureCrop Pro and MediGraph RAG, demonstrating expertise in deep learning, blockchain, and AI agent workflows. Eager to apply technical skills and leadership experience to innovative data science and AI challenges.
D.Y. Patil Agriculture and Technical University (DYP ATU)
B.Tech · Computer Science (Data Science & Artificial Intelligence)
August 1, 2023 – May 1, 2027
Sanjeevani-Vision - Clinical Decision Support System
June 1, 2026 – Present
Engineered a medical tool for rural clinics to interpret and decipher complex diagnostic scans. Leveraged Gemini AI multimodal models to generate clear, structured clinical and patient reports. Designed a low-latency, highly secure backend to process medical imaging data quickly.
MediGraph RAG - Medical Intelligence Engine
February 1, 2026 – Present
Built a GraphRAG system linking medical research papers into an entity-graph using Neo4j and LangChain. Implemented AI agent workflows with persistent memory to solve multi-step clinical queries. Tracked system reliability using LangSmith and evaluated prompt variations using DeepEval and RAGAS.
FutureCrop Pro - Agritech OS & Price Predictor
January 1, 2026 – Present
Developed a deep learning platform (CNN-LSTM) to forecast crop yields and market trends. Parsed satellite telemetry and real-time NDVI data to monitor soil conditions and health. Built a secure, blockchain-backed ledger to maintain supply chain and data transparency. Created a high-speed analytics dashboard using Streamlit and FastAPI for live insights.
AutoML Studio - No-Code Machine Learning Platform
January 1, 2026 – January 31, 2026
Built a drag-and-drop web app that automates data cleaning, training, and picking ML models. Deployed the platform live to production to let business analysts build models without writing code. Presented the structural blueprint and live app demo to international corporate clients.
Google Cloud & GenAI
June 1, 2026 – Present
Open Source
Unknown
June 1, 2026 – Present
Level-2 Qualifier: Innovators Hackathon 2026 (Pune)
Innovators Hackathon
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (medical intelligence, agritech, general ML platform) and leadership role in a university club suggest a proactive and collaborative mindset. The focus on AI/ML and MLOps aligns well with the target role. However, all projects are academic, and there is no professional experience, which might indicate a need for mentorship in a corporate environment. The certifications, especially 'Open Source', hint at a community-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through founding a university club. Project descriptions suggest an ability to work on complex, multi-faceted problems. The academic nature of projects, however, means real-world operational fit and experience with production-grade systems under pressure are yet to be fully validated. The English test score indicates good communication clarity, which is positive for team collaboration and documentation.