Work experience

• Senior Software Engineer

  Intel Corporation

  2025.05-Current

  (a year)

  3 years 5 months Building scalable, multimodal QA bot leveraging advanced retrieval- augmented generation (RAG), LLM, QLora, vLLM, RLHF optimization, and safety mechanisms (NeMo Guardrails) for internal documentation, significantly enhancing accuracy and compliance
• Software Engineer

  Intel Corporation

  2023.01-2025.05

  (2 years)

  (2 years 5 months) Developed an anomaly detection system for chip design blocks, slashing QAtest time from 6 months to 5 days by leveraging computer vision techniques with Keras, TensorFlow, OpenCV, scikit-learn, pandas, and Seaborn Integrated Grad-CAM Explainable AI with TensorFlow, Matplotlib, and OpenCV for in-depth analysis of wafer images, significantly enhancing interpretability and reducing wafer design testing time by 3 weeks Created an automated consumption checker in Python with cloud infrastructure; generated HTML reports and error logs, and implemented CI/CD pipelines using GitHub Actions and PyTest for robust validation Designed an SDL framework integrating Coverity, AFL Fuzzer, Bandit, and Trivy for comprehensive security and vulnerability testing, utilizing GitHub Actions and Docker, reducing testing time from 3 weeks to 4 days
• Software Engineer Intern

  Intel Corporation

  2022.05-2022.12

  (8 months)

  Developed a computer vision and deep learning based quality assurance model to help design and test standard cell libraries(building blocks ofintegrated circuits)
• Graduate Teaching Assistant

  University of Colorado Boulder

  2021.05-2022.08

  (a year)

  1 year 8 months (1 year 4 months) Teach students Principles of Programing Languages to the class of 270 undergraduate students The syllabus includes Scala, functional programming, inductive definitions, recursion, parsers, interpreters, type checker for programming languages, lambda functions, higher-order functions including map-reduce, filter, etc. Help students to Debug Scala and Python Codes Guide students to brainstorm project ideas for class
• Software Engineering Summitee

  Capital One

  2021.12-2022.01

  (2 months)

  Implemented a National Park Activity Finder app that allows users to select activities and find corresponding national parks using React and National Parks API and Netlify Received training workshops on React and Express.js Participated in hackathons and created an app that recommends the best local establishments using Google APIs, SwiftUI, and MapKit to display the best offerings on a map in nearby areas
• Computer Science Research Aprentice

  Google

  2021.09-2022.01

  (5 months)

  Accepted to a quarter-year long program that pairs graduate students with Google mentors to support computer science research goals, and attend a research conferences
• Graduate Student Assistant

  University of Colorado Boulder

  2021.01-2021.04

  (4 months)

  Grader for Principle of Programing Languages for the class of 250 students Held office hours to help students with code review in Scala, helped with homework and assignments Created learning materials in Scala on functional programming, inductive definitions, parsing, interpreter, etc. Proctored students during spot exams and final assessment
• Software Engineer - Data Science

  HSBC

  2019.03-2020.12

  (2 years)

  (1 year 10 months) Designed and developed an unsupervised customer segmentation model for profiling customers for digital marketing campaigns based on customers' digital presence, demographics, expenditure, etc. Tech stack used: Python, unsupervised machine learning, sci-kit-learn, SAS, SQL Server, Big Query Developed a web application that provides features and insights into mobile apps comparing them with competitors' apps. Used topic modeling to analyze customers' preferences and sentiments. Tech stack used: Python, Flask, NLTK, spaCy, Gensim, plotly
• Software Engineer - Data Science

  Cognizant

  2016.08-2019.02

  (3 years)

  (2 years 7 months) Created a predictive model for customer return to purchase for the Marketing Analytics team with a 5% increase in Recall on an existing model Resume Screening using Optical Character Recognition that decrease the average screening time from 1 week to 2 days Server Failure Prediction on a network using anomaly detection to enhance fault tolerance Built a customer return-to-purchase model with 91% accuracy and scaled up to run the model every week. Tech stack used: Python

Educational experience

• University of Colorado Boulder

  Computer Science

  2021.01-2022.12

  (2 years)
• West Bengal University of Technology

  Applied Electronics & Instrumentation

  2012.01-2016.01

  (4 years)

Certificates