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EXPERIENCE

June 2024 - Current

Full Time

Bristol Myers Squibb

Hyderabad

Software Engineer II (AI/ML)

  • Developed Generative AI and Machine Learning solutions across multiple products and proof-of-concept projects, leveraging advanced AI technologies.

  • Enhanced DocGenAI platform for pharmaceuticals using GCP, Firestore, Vertex AI, Document AI, Cloud
    Functions, LLMs, and Retrieval-Augmented Generation (RAG).

  • Created LLM Evaluation System for DocGenAI Platform utilizing Large Language Model as Judge to assessgenerated content quality and scoring

  • Improvised Codification Extraction System with Vector Database retrieval, utilizing FastAPI, ReactJS, AWS, RDS, OpenSearch, and Lambda.

  • Developed Insight Nexus AI Tool for intelligent file chat and data analysis, enabling advanced AI Agent
    capabilities across Excel, Sheets, and SQL Databases.

  • Engineered Patient Pre-screener Questionnaire using Generative AI to dynamically extend trial-specific
    assessments.

  • Created Digital Health Biomarkers Tracking MVP with Streamlit, implementing dynamic data extraction
    pipeline.

Dec 2021 - May 2024

Intern + Full Time

Crest Data AI

Ahmedabad

Software Engineer​

  • Integrated ThreatConnect with Netskope Cloud Exchange, enabling secure data exchange.

  • Built RESTful APIs and backend systems for Netskope Cloud Exchange using FastAPI, MongoDB, RabbitMQ,
    Celery, and Python.

  • Contributed to frontend development using ReactJS, addressing minor bugs and implementing basic features.

  • Developed Machine learning models to calculate user and application Risk scores using Netskope tenant
    data.

  • Implemented a Back-pressure mechanism for stable data ingestion during high loads, improving system
    reliability and reducing downtime.

  • Implemented a Compression mechanism that optimized memory utilization for enhanced product performance.

  • Built a Conversational AI using Retrieval-Augmented Generation (RAG) to assist customers with minor bug
    resolution and product knowledge acquisition.

Aug 2021 - Sep 2021

Intern

Pivotchain Solutions

Pune

Data Scientist

  • Played a key role in the Threat Detection Project for a Kotak Mahindra Bank, utilizing machine learning to
    strengthen cybersecurity infrastructure.

  • Trained YoLo models for Object Detection and Image Segmentation, contributing to enhanced anomaly
    detection accuracy.

  • Developed and deployed Flask-based API for seamless integration and utilization of trained models.

  • Built a computer vision model using Convolutional Neural Networks (CNNs) to automatically identify whether people are wearing helmets in images or videos.

June 2021 - July 2021

Intern

Krisikx India LLP

Ahmedabad

Lead AI/ML Engineer 

  • Duration: 1 Month

  • Led a team of machine learning interns, assigning tasks, providing guidance, and ensuring project progress.

  • Developed a Crop Price Prediction model utilizing data analysis and machine learning techniques,
    improving market forecasting accuracy by 12%.

  • Contributed to the development of weed detection models for real-time plant monitoring using live camera feeds.

  • Managed and improved plant disease detection projects, enhancing model accuracy for precise disease identification.

ACHIEVEMENTS

  • IT Startup Project Competition - 3rd Rank

  • Infosys Certified Software Developer

  • Segmind Grand AI Challange 2021 - 53 rank

  • Hackerrank Python Programming - 5  ⭐

  • Hackerrank Problem Solving - 5 ⭐

  • Leetcode Problem Solving - 2 ⭐

CERTIFICATIONS

Coursera

  • Natural Language Processing with Tensorflow 

  • Introduction to Data Science with Python

  • Machine Learning With Google Cloud For Business Professionals

Cognitiveclass.AI

  • Deep Learning Fundamentals

  • Introduction to Machine Learning With Python

Data Camp

  • Deep Learning With Python ( Skill Track )

  • Natural Language Processing ( Skill Track )

  • Deep learning for Natural Language Processing  ( Skill Track )

  • Image Processing With Python ( Skill Track )

SKILLS

  • Programming Languages: Python.

  • Libraries & Tools: Keras, PyTorch, Sklearn, Pandas, Numpy, OpenCV, Docker, Tensorflow, Langchain, FastAPI, Django, Flask, NLTK, Streamlit, ReactJS.

  • Databasae & Version Control: MongoDB, SQL, Git, GitHub, Bitbucket.

  • AI Architectures: Neural Networks, CNN, RNN, LSTM, YOLO, Transformers.

  • Generative AI: Large Language Models, GAN, Autoencoders, RAG, Prompt Engineering, Vector Database.

  • Others: Natural Language Processing, Computer Vision, Time Series Analysis.

CONNECT WITH ME

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  • LinkedIn
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