About me

AI/ML Engineer with experience in Python, machine learning, deep learning, and modern AI frameworks. Built chatbots, recommendation systems, predictive models, and full-stack AI applications using FastAPI, LangChain, and PostgreSQL.

My job is to design and develop AI solutions that are intelligent, scalable, and practical. I build machine learning models, RAG systems, and data pipelines that turn complex information into actionable insights. Moreover, I focus on creating AI products that are accurate, efficient, and easy to integrate into real-world applications. My aim is to leverage artificial intelligence to solve challenging problems and deliver innovative experiences. I have worked on projects involving large language models, predictive analytics, computer vision, and end-to-end AI deployment.

What i'm doing

  • Web development icon

    Web development

    High-quality development of sites at the professional level.

  • mobile app icon

    AI Solutions

    End-to-end development of AI products, from data pipelines and model training to scalable deployment.

  • camera icon

    Data Analytics

    I create insightful dashboards, predictive models, and visualizations that turn data into business value.

  • Software Engineer icon

    Software Engineering

    Designing and building robust, scalable software solutions using python and various python frameworks like FastAPI, django and flask.

Organizations I've worked for

  • BaFT Technology

    BaFT Technology

    Worked as an AI/ML Engineer and Frontend Developer, building AI-powered financial products with React, Python, and machine learning.

  • National Skill Development Corporation

    National Skill Development Corporation

    Worked as an AI Business Intelligence Intern, building large-scale data preprocessing pipelines, conducting trend analysis using Python and Scikit-learn, and optimizing ML/DL inference workflows to deliver actionable insights for strategic decision-making.

  • Unified Mentors

    Unified Mentors

    Worked as a Machine Learning Engineer Intern, developing a heart disease prediction system using supervised learning algorithms, data preprocessing techniques, and model evaluation frameworks to enable early risk assessment and improve predictive accuracy.

  • UniFirst Robotics

    UniFirst Robotics

    Worked as a Generative AI Engineer Intern, developing machine learning and deep learning solutions using Python and TensorFlow. Built neural networks from scratch, implemented data preprocessing and feature engineering pipelines, and optimized model performance through hyperparameter tuning and rigorous experimentation across multiple AI projects.

Technologies I Work With

  • Python
  • LangChain
  • React
  • Docker
  • PostgreSQL

Resume

Education

  1. Vemana Institute of Technology

    2021 — 2025

    B.E. in Computer Science (Artificial Intelligence & Machine Learning) with a CGPA of 8.8. Specialized in Machine Learning, Deep Learning, Natural Language Processing, Data Analytics, and Generative AI.

  2. Expert Group of Institutions

    Jun 2019 — Aug 2021

    Pre-University Education with a score of 93.2%. Focused on Mathematics, Physics, Computer Science, and foundational programming concepts that laid the groundwork for higher studies in Artificial Intelligence and Machine Learning.

Experience

  1. AI/ML Engineer — BaFT Technology Pvt Ltd

    Aug 2025 — Apr 2026

    Built RAG-based financial assistants using LangChain, LangGraph, PostgreSQL vector databases, and LLMs. Designed multi-agent systems for behavioral banking and optimized AI pipelines with LangSmith.

  2. AI Business Intelligence Intern — NSDC

    Sep 2024 — Mar 2025

    Developed large-scale data preprocessing pipelines, performed trend analysis with Python and Scikit-learn, and optimized ML/DL inference workflows for actionable business insights.

  3. Machine Learning Engineer Intern — Unified Mentors

    2024

    Developed an end-to-end heart disease prediction system using supervised machine learning, feature engineering, model evaluation, and data visualization techniques.

  4. AI Engineer Intern — UniFirst Robotics

    Oct 2023 — Nov 2023

    Implemented machine learning and deep learning solutions using Python and TensorFlow, built neural networks from scratch, and optimized model performance through experimentation and hyperparameter tuning.

Technical Skills

  • Python
    95%
  • Generative AI & LLMs
    90%
  • Machine Learning & Deep Learning
    92%
  • LangChain & LangGraph
    90%
  • PyTorch & TensorFlow
    88%
  • FastAPI & Docker
    85%
  • React & Frontend Development
    88%

Contact

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