Data Scientist & ML Engineer.

Building end-to-end machine learning pipelines, deploying PyTorch models, and leveraging Generative AI to solve complex corporate challenges.

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Technical Competencies

Modeling & AI

  • PyTorch
  • Generative AI
  • Deep Learning
  • Machine Learning

Languages & Logic

  • Python
  • SQL
  • R
  • Data Structures & Algorithms

Data & Backend

  • PostgreSQL
  • NumPy
  • Relational Database Design

Engineering

  • Web Development (React, Tailwind)
  • API Integration

Featured Projects

Selected works demonstrating end-to-end ML capabilities and business impact.

Enterprise RAG Pipeline

Engineered an end-to-end Retrieval-Augmented Generation pipeline reducing document retrieval latency by 40% and improving response accuracy for internal compliance queries.

PyTorchLangChainPostgreSQLFastAPI
Live DemoSource Code

Predictive Analytics Engine

Developed a robust forecasting model using PyTorch to predict customer churn, yielding a 15% increase in retention through targeted intervention strategies.

PythonPyTorchNumPyScikit-Learn
Live DemoSource Code

Automated Data Quality Monitor

Built a scalable data validation framework to ensure integrity across multi-terabyte data lakes, flagging anomalies with 99% precision.

SQLPythonAirflowAWS
Live DemoSource Code

About & Approach

I am a Data Scientist and Machine Learning Engineer focused on delivering measurable business impact through advanced analytics and robust modeling. My approach bridges the gap between complex algorithms and corporate strategy, ensuring that technical solutions drive real ROI.

With a strong foundation in Computer Science and Engineering, I emphasize clean architecture, analytical thinking, and structured problem-solving. I thrive in cross-functional environments, communicating complex technical concepts to stakeholders with clarity.

Whether it is engineering a highly scalable PyTorch model or deploying Generative AI to streamline internal workflows, my goal is to build intelligent systems that are as reliable as they are innovative.

Education & Milestones

B.Tech in Computer Science & Engineering

Focus: Data Science

Developed a robust foundation in Data Structures, Algorithms, and scalable software architecture.

Advanced Machine Learning Specialization

Continuous Learning

Mastered deep learning frameworks, large language models (LLMs), and cloud deployment strategies.