AI/ML Engineer
TJ

Architecting Intelligence.

Data-driven Developer and Data Analyst with 2 years of experience at TCS specializing in development, production data analysis, backend automation, stored procedure development, and SQL query optimization. Currently expanding expertise in Azure AI Services, ML, DL and Data Science.

GitHub LinkedIn

Full Technical Stack

ML & AI

NumPy Pandas Matplotlib Scikit-learn TensorFlow PyTorch RAG Fine Tuning Prompt Engineering AI Agents Hybrid Search Agent Orchestration MCP Servers A2A Protocol

Programming

Python C#.NET VB.NET Java

Data & DB

Oracle SQL PL/SQL EDA Root Cause Analysis Stored Procedures Power BI

Tools

Git/GitHub Azure DevOps Postman API Jupyter Microsoft Foundry

Professional Experience

Tata Consultancy Services Ltd (TCS)

Developer & Data Analyst | June 2024 — Present

  • Designed and developed enterprise application modules using VB.NET and Oracle (PL/SQL) for backend processing.
  • Developed and optimized stored procedures to improve query performance and ensure efficient data processing.
  • Conducted production data analysis to identify inconsistent and unused data, improving overall data accuracy.
  • Performed root cause analysis on critical data discrepancies and presented findings to business stakeholders.
  • Automated client and insurer statement generation, ensuring timely distribution and maintaining 100% data integrity.
  • Collaborated with cross-functional teams to support business reporting, analytics requirements, and system enhancements.

Achievements

Best Team Award (Twice) - Recognized for contributions toward data quality improvement and enterprise application enhancements.

On-the-Spot Award - Resolved critical production data discrepancies through detailed data analysis and stakeholder collaboration.

Education

B.E. Computer Science & Engineering

Annai Mira College of Engineering and Technology

Projects

Estimate the Crop Yield using Data Analytics

ICT Academy - IBM Skills Network | March 2023

  • Developed a data-driven predictive model to estimate crop yield using historical agricultural datasets.
  • Performed data cleaning, transformation, and exploratory data analysis using Python.
  • Implemented feature selection techniques to improve model accuracy.
  • Built predictive logic capable of estimating yield outcomes from multiple environmental input parameters.
Python Data Analytics Predictive Modeling Feature Selection

Certifications

MS Azure AI Fundamentals (AI-900)

Udemy Certified | July 2025

Demonstrated foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and their related Microsoft Azure services.

Azure Cloud Microsoft Foundry ML & DL Foundation AI Solutions NLP Computer Vision Training ML Models

Machine Learning Specialization

DeepLearning.AI & Stanford University | In Progress

Mastered fundamental AI concepts including Supervised Learning (Linear/Logistic Regression), Neural Networks, and Unsupervised Learning techniques like Clustering and Recommender Systems.

Supervised Learning Unsupervised Learning Neural Networks Recommender Systems Gradient Descent Algorithm