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AI Engineer with less than a year in Machine Learning & GenAI
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AI/ML Engineer with production experience across the full ML lifecycle – data ingestion, preprocessing, model training, REST API deployment, and MLOps – applied to real enterprise problems at Tata Motors. Built an OCR pipeline that digitized 1,000+ records, improved extraction accuracy by 25%, and eliminated 100% of manual data entry. Reduced stakeholder reporting effort by 75%, analysis time by 60%, and L&D workflows by 80%. Certified in Generative AI with LLMs (Coursera) and Deep Learning (deeplearning.ai), with growing focus on GenAI systems.
Nutan College of Engineering & Research
B.Tech · Computer Science & Engineering
N/A – June 30, 2026
Tata Motors
AI/ML and Data Science Intern
October 1, 2025 – January 1, 2026
Pune, Maharashtra, India
Adaptive Auto Data Evaluation System (AADES)
June 1, 2026 – June 30, 2026
Designed a configuration-driven analytics engine automating full DS workflows – type detection, missing value handling, K-Means clustering, and regression – via a FastAPI backend and interactive Chart.js dashboard. Reduced average analysis time by 60% for non-technical stakeholders by automating the full ML pipeline from raw upload to visual insight, eliminating manual scripting.
Automated Training Evaluation & Performance Analytics System
June 1, 2026 – June 30, 2026
Developed a full-stack Flask application with PostgreSQL backend, RBAC, and JWT authentication – handling ingestion, ETL transformation, and visualization of 10,000+ training records. Built Pandas ETL pipelines wired to Chart.js trend visualizations – reducing manual L&D reporting time by 80% and replacing 100% of Excel-based workflows with real-time analytics.
Market Sentiment Analysis & Trading Performance Dashboard
June 1, 2026 – June 30, 2026
Built an NLP + K-Means clustering pipeline analyzing 10,000+ financial and sentiment records to segment traders into behavioral archetypes across bullish, bearish, and neutral market conditions. Delivered a Streamlit + Plotly dashboard with a statistical correlation engine translating sentiment findings into trading strategy recommendations – reducing manual analysis effort by 90%.
Data Science Essentials with Python
Cisco Networking Academy
January 1, 2026 – Present
Python Programming
HackerRank
January 1, 2025 – Present
Generative AI
Coursera
January 1, 2025 – Present
Applied Machine Learning
Coursera
January 1, 2025 – Present
Large Language Models
Coursera
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of AI/ML skills across different domains (data evaluation, market sentiment, training analytics), indicating adaptability and a broad interest in problem-solving. The internship at Tata Motors shows exposure to an enterprise environment. The certifications in Generative AI and LLMs align well with a forward-thinking, innovation-driven culture. The candidate's current student status and recent certifications suggest a strong drive for learning and professional development, which is a good cultural fit for roles requiring continuous skill acquisition.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a strong problem-solving orientation and an ability to deliver practical solutions that automate workflows and improve efficiency. The focus on reducing manual effort and providing real-time analytics suggests a proactive and results-driven approach. The experience with full-stack development (Flask, FastAPI) and database management indicates a capacity for end-to-end ownership. The candidate's education is ongoing, which implies a continuous learning mindset.