Work Experience

My professional journey and key accomplishments.

Aug 2024 – Dec 2025

Amazon Robotics

Boston, Massachusetts, United States

Software Development Engineer Co-Op

  • Automated MLOps for autonomous fulfillment‑center robotics, deploying solutions to 185+ centers across USA & Europe, reducing model rollout time.
  • Engineered end‑to‑end data‑ingestion and testing pipelines, boosting developer throughput.
  • Creating real-time monitoring key performance indicators, enabling rapid anomaly detection & data‑driven optimization.
MLOpsPythonAWSAWS CDKTypescriptMachine Learning
May 2025 – Present

PARCE Lab @ Georgia Tech

Atlanta, Georgia, United States

Graduate Research Assistant

  • Spearheaded quantitative analysis for an educational HCI study focusing on Interactive Computing with the PARCE Lab under Dr. Feijoo-Garcia, involving over 900 college students.
  • Developed and managed the data analysis pipeline, preparing for large-scale survey data interpretation to advance HCI in education.
  • Navigated and documented IRB approval processes for student data research, ensuring ethical and compliant data handling protocols.
ResearchHCI
Aug 2024 – Jan 2025

Voloridge Health

Jupiter, Florida, United States

AI Engineer Intern

  • Created a LLM framework for biomarker extraction, achieving 96% accuracy on unstructured healthcare data
  • Standardised multi-vendor healthcare data for enhanced usability in medical research and analytics.
LLMPyTorchDockerOCRExplainable AI
May 2024 – Aug 2024

Voloridge Investment Management, LLC

Jupiter, Florida, United States

Trading Engineer Intern

  • Developed a micro-service for logging prime broker interactions, replacing error-prone backend.
  • Created an application for seamless logging, retrieval, and CRUD operations on broker interactions.
  • Integrated CI/CD pipelines to facilitate notification and authentication services with DevOps collaboration.
REST APIKubernetesLinux
Aug 2023 – May 2024

Fintech Lab @ Georgia Tech

Atlanta Metropolitan Area

Undergraduate Researcher

  • Employing Machine Learning in quantitative trading strategies to predict or price stocks and other asset markets.
  • Conducting research in financial markets to predict market behavior and uncover causal effects.
  • Analyzing individual-level data to extract behavior patterns and enhance predictive models.
Machine LearningQuantitative Finance
Jan 2023 - Dec 2023

College of Interactive Computing @ Georgia Tech

Atlanta, GA

Research Assistant

  • Developed a generative AI driver to create and operate DMX and Art-Net lighting schemas.
  • Translated high-level commands into dynamic, intelligent lighting displays for interactive environments.
Generative AIDMXArt-NetPython
May 2023 – Aug 2023

Go India Advisors

Mumbai, Maharashtra, India

Data Science & Machine Learning Intern

  • Augmented 1.5 million data points in a real-time database using web-scraping for publicly-listed companies.
  • Employed Monte Carlo model to predict sector-wise movements with 87% accuracy, providing strategic insights.
  • Designed NLP algorithms for entity recognition & sentimental analysis, linking price-movements with data.
  • Built ChatBot with GPT API and LangChain, extracting insights from financial statements 45% faster.
PythonTensorflowBeautiful SoupAWSLangChain
Jun 2022 – Jul 2022

Wockhardt Ltd.

Aurangabad, Maharashtra, India

Computer Science Trainee

  • Conducted computational analysis for drug discovery research as part of a medical drug analysis team, utilising advanced data science techniques.
  • Utilised computer siren technical skills to analyse and interpret complex datasets in the field of drug discovery research.
  • Studied the application of computational analysis and data science methods in drug discovery research, with a specific focus on their efficacy and potential for enhancing the drug development process.
  • Acquired proficiency in computer siren technical skills, enabling effective utilization of data science tools and algorithms for drug discovery analysis.
Data ScienceDrug Discovery
Jun 2020 – May 2021

Naskraft IT Solutions PVT LTD.

Aurangabad, Maharashtra, India

High School Technology Intern

  • Designed and Implemented high-performance database systems for fintech companies, leveraging cutting-edge transaction databases and optimization techniques.
  • Proficient in software development methodologies, including seamless database migration, efficient version control, rigorous testing, and meticulous code standardization.
FintechDatabase Systems