CV

My Resume

Work Experience

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AI Software Engineer II, Microsoft
December 2025-Present
Redmond, WA

  • Architected an end-to-end agentic bug-triage system that orchestrates ML and LLM pipelines to transform raw user feedback and metadata into actionable, deduplicated engineering bugs and Root Cause Analysis reports
  • Analyzed 6–7 million feedback items monthly using actionability classification, text embeddings, spherical k-means clustering, and cohesion/semantic scoring to identify actionable issues and deduplicate related feedback
  • Designed the LLM orchestration layer to generate issue titles and descriptions, reclassify candidate issues, and route high-confidence results for automated bug creation, achieving a 75% actionability score
  • Skills: Python, Go, LLM Orchestration, Agentic Frameworks, ML Pipelines, Text Embeddings, Clustering, Azure

AI Software Engineer, Microsoft
January 2025-December 2025
Redmond, WA

  • Architected and built an MCP search and analytics platform used by 500+ daily users, orchestrating semantic retrieval, aggregations, classification, and sentiment analysis across millions of customer feedback records and 3,000+ searchable fields
  • Developed AI-powered sentiment and trend analysis adopted across 20+ Microsoft product teams, using LLMs and machine learning to transform large-scale customer feedback into concise, actionable narratives
  • Improved LLM reliability and production stability through tokenizer validation, token-budget optimization, and inference pipeline enhancements, reducing model failure rates from 33% to nearly 0%
  • Skills: .NET, C#, React-Native, Typescript, Azure, LLMs, MCP, Orchestration, Semantic Search

Software Developer, Superluminal
May 2023-January 2025
Albany, NY

  • Developed desktop version of client medical web application, broadening user accessibility by 100%
  • Architected and prototyped a screen-recording feature for demos, reducing debugging time by 60%
  • Optimized backend services and controllers integrated into APIs supporting over 10,000 clients
  • Increased triage efficiency by 350% through Azure-compatible logging integrations
  • Developed and integrated Authentication party for medical applications to increase security of patients’ data
  • Skills: C#, .Net, SQL, SQLite, Azure

Software Engineering Intern, Ford Motor Company
Summer 2022
Detriot, MI

  • Developed Endpoints in Spring Boot for tabled data manipulation
  • Wrote SQL queries to manipulate tabled data
  • Developed Python Script to call Endpoints
  • Designed Mobile Application for Road Trips for Ford vechicles in 2 Day Hackthon Challenge
  • Skills: SQL, Hadoop, Rest API, Spring Boot, Python Development, Pyspark, Postman

BioNLP, University of Massachusetts, Amherst
Summer 2021-May 2023
Amhersrt, MA

  • SDOH iOS Annie App
      Creating iOS mobile application to help users in poverty find resources and programs to help them in times of need
  • Developed with Mapbox software library, and Firebase to help uses find tailored resources close to them.
  • Created web crawling programs to find resources and create a database of resources.
  • Fine tuning BERT NLP model to extract important information from resources to create a tailored experience
  • Skills: SQL, Hadoop, Rest API, Spring Boot, Python Development, Pyspark, Postman

VIP Researcher, Purdue University
May 2022 - Aug 2022
West Lafayatte, IN

  • Research team is VAA: Visual Analysis for Understanding Animal Behavior
  • Designed and developed a GUI for a research team that tracks turkey for poultry production
  • Abstract for my GUI was accepted to Purdue’s Undergraduate Research Conference.
  • Converted GUI to web application over the summer that is now interactive and intuitive that showcases 7 graphs which can interact with video data, 5 statistical graphs, an animation that tracers the turkey’s path, and a tab that showcase ML model used to track turkeys
  • Skills: Python Development, Web Development, Plotly, UI/UX design, Model Integration

Automation Engineer, Synopsis
Summer 2018
Miraflores, Lima, Peru

  • Conducted research to identify appropriate software to use and applied my research using Katalon Studio and Appium
  • Developed Automated Test scripts to Test Web and mobile Application for Synopsis’s client

Education

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B.S. in Computer Engineering, Purdue University
August 2017 - December 2020

M.S. in Computer Science, University of Massachusetts, Amherst
September 2021 - May 2023

Projects

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596E: Machine Learning for Child Rescue, UMASS Rescue Lab
Apr 2020 - Jul 2020
Github Link

  • Designed two React-Native Applications that aid law enforcement of different departments to canvas trackers and evidentiary material
  • Developed mobile application and desktop application that connects to Fast API backend and MongoDB
  • Skills Acquired : Expo, React-Native, MongoDB, Fast API, Typescript, Javascript

EPCS 412: Senior Design, Purdue University
Jan 2020 - Dec 2020
Github Link

  • Designed and developed a Real Time ASL translator application that uses Computer Vision to translate American Sign Language (ASL) for Senior Design
  • Designed and developed iOS application that integrated Mediapipe and ASL translator ML model. Application integrates a static sign ASL translator tailored to the Indiana Sign Language
  • Fined tuned existing ML Model and integrated it with Google’s Mediapipe software framework to interpret the ASL Alphabet
  • This application has nine different categories and also has a dynamic sign translator that can translate phrases in ASL alphabet
  • Design Team lead for two semesters
  • Skills Acquired : Computer Vision Model Development, iOS Development, Integrating CV ML Model, Management Skills

Continuous Analysis of Many CAMera, CAM2
Jan 2020 - Dec 2020
Github Link

  • Research team that revolves around using worldwide cameras and interpret data from the Cameras
  • Designed and developed web scraper that could parse different live cameras for information about the public and be used to decipher mask wearing during COVID-19 pandemic.

Skills

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Programming Languages
  • Python
  • C
  • C#
  • Swift
  • C++
  • Java
  • Javascript/Typescript
  • React Native
  • MATLAB
ML/AI
  • Tensorflow
  • Google Colab
  • CreateML
  • Pytorch
  • OpenCV
  • Numpy
  • Pandas
  • Mediapipe
Developement
  • Operating System
    • Windows
    • Mac OS
  • App Development
    • XCode
    • Spring Boot
    • .NET/ASP
    • Java Development
  • Frameworks
      Creating iOS mobile application to help users in poverty find resources and programs to help them in times of need
  • Web Technology
    • Dash
    • Plotly
    • Node.js
    • npm
  • Database
    • SQLite
    • SQL
    • Tableau
    • Firebase
    • Mongo
  • IDE
    • Android Studio
    • Xcode
    • Appium
    • Katalon Studio
    • Swift Playground
  • Automation Testing
    • Appium
  • Source Control
    • Git
    • Bit Bucket
  • Cloud & Tools
    • Azure
    • Jira
Miscellaneous
  • Microsoft
  • Honors Spanish for 7 years

Relevant Course Work

  • Advanced Algorithms
  • Artificial Intelligence
  • Machine Learning I
  • Object Oriented Programming
  • Neural Network
  • Software Theory
  • Data Structures and Algorithms

Publications

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  • Shengtai Ju, Sneha Mahapatra. Turkey Behavior Identification System with a GUI using Deep Learning and Video Analytics. IS&T Electronic Imaging, 2020.
  • Isha Ghodgaonkar, Abhinav Goel, Fischer Bordwell, Caleb Tung, Sara Aghajanzadeh, Noah Curran, Ryan Chen, Kaiwen Yu, Sneha Mahapatra, Vishnu Banna, Gore Kao, Kate Lee, Xiao Hu, Nick Eliopolous, Akhil Chinnakotla, Damini Rijhwani, Ashley Kim, Aditya Chakraborty, Mark Daniel Ward, Yung-Hsiang Lu, George K. Thiruvathukal. Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras. 2020.

Abstracts

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  • Sneha Mahapatra, Huan-Yuan Chen, Professor Hong Yu. NLP and Annie App for Social Determinants of Health. AMIA 2022 Clinical Informatics Conference May 24-26; Houston TX.

Teaching

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Ideas to Innovation I and II (ENGR 131 and ENGR 132)
Jan 2018-May2018
Purdue University

  • Proficiently instructed individuals in MATLAB and Excel macros

Advanced C Programming (ECE 264)
Aug 2018 - May 2019
Purdue University

  • Instructed students in the principles of C programming while providing guidance on the utilization of essential debugging tools such as Valgrind and GDB for the purpose of error detection and resolution.

Python for Data Science (ECE 20875)
Jan 2020 - Dec 2020
Purdue University

  • Imparted knowledge in the realms of data science, provided an introduction to machine learning, and fostered a profound comprehension of Python, alongside its associated libraries.

Software Theory (CS 520)
Jan 2022 - May 2022
University of Massachusetts, Amherst

  • Graded Homework, Tests, and Projects for Graduate Level Class

Leadership

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  • VFS Purdue, Avionics Leaders
  • Women in Engineering Program, Mentor
  • Senior Project Design Lead
  • Design Lead for GDAT

Professional Organization

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  • CSWomen
  • Vertical Flight Systems Purdue
    • Research on Kalman Filter, Motor Interfacing, Dynamic Programming, Pixhawk 4
  • WECE
    • Webmaster
  • Women in Engineering Program
    • Mentor & Mentees Program
  • National Society of Collegiate Scholars
  • Member of the Alpha Lambda Delta Phi Eta Sigma

Honors and Awards

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  • Member of the Alpha Lambda Delta Phi Eta Sigma
  • RCA Zworykin Scholarship
  • McDonnell Douglas Minority and Women Scholarship
  • Dean’s List
  • High Honors and Honors List
  • Received my diploma in:
    • Hindustani Classical Music
    • Odissi Classical Dance

Co-Curricular Activities

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  • Computer Society, Instructor
    • Teach Graduates and Undergraduates the basics of coding in Python.
  • STAT Learning Community, Data Mining
    • Learning how to represent, extract, visualize, and interpret data

Complete CV can be found here