Jan 2025 – Jun 2025 · 5 mos

• @C3 Lab (also known as Cognition, Creativity, and Communication)
• Developing agentic tools ("rings" of Saturn) to power Satyrn, Northwestern’s AI knowledge assistant.

Sep 2024 – Dec 2024 · 3 mos · Evanston, Illinois, United States

• Led the design of an AI-driven consumer research moderator in collaboration with linguistics experts, achieving a 95% reduction
• in survey creation time.
• Built modules/APIs for configurable survey creation and response quality assessment, ensuring authentic feedback.
• Utilized Python, Flask, GPT-4, Azure and Prompt Engineering.

Jun 2024 – Aug 2024 · 2 mos · Chicago, Illinois, United States

• @Applied Science Team
• Solved text duplication using unsupervised learning algorithms (Hierarchical, DBSCAN), achieving 99% accuracy.
• Developed and deployed a demo showcasing the deduplication workflow.
• Experimented with top-text comparison methods (Cosine Distance, Levenshtein Distance) for retrieval.
• Developed synthetic datasets (more than 5000 data points) using prompt engineering and the FEVER dataset.
• Generated embeddings using sBERT, BERT, and OpenAI embeddings models.

Jan 2022 – Aug 2023 · 1 yr 7 mos · Singapore

• @Allocation & Matching team (formerly known as Booking Service)
• Developed scalable tier 1 services for the allocation and matching team, optimizing the booking lifecycle and driver allocation.
• Collaborated with Data Scientists to design and implement features like time-to-pickup filters and tentative swap mechanisms.
• Designed and built driver shift filter, allocation swaps, multitaxi options, pricing nudges, bid-and-ask and two-sided pricing for GrabShare.
• Developed migration logic for the Bookings API.
• Monitored tier 1 dispatch/allocation distributed services, including the Bookings service. (over 1 million orders/rides daily)

Mar 2020 – Jan 2022 · 1 yr 10 mos · Singapore

• @VCI (Vendor Competitive Intelligence) team
• Designed and built a scalable, configurable, distributed system to scrape competitor pricing, promotions, and vendor menu data.
• Partnered with Data Engineers to build a multi-layered pipeline integrating data from 80+ sources into a centralised warehouse.
• Architected and implemented a geolocation service to improve scraped data throughput by over 50%.
• Designed and developed a novel data mapper that standardises 80+ data sources with custom mappings.
• @Groceries team
• Developed a debugging tool for campaign, order, and item issues in the grocery vertical.

Oct 2019 – Feb 2020 · 4 mos · Remote

• Developing backend modules for the Litt app, that is meant to be a platform for creating and sharing experiences.
• Accomplished creating event submission module, integrating soft delete feature.
• Used Django, Postgres, Google Maps Platform, Bootstrap and Git.

Aug 2018 – May 2019 · 9 mos · Delhi, India

• Provided analytics based solutions for a Master Data Management project.
• Developed code automating entire production of monthly reporting slide presentation, using Python.
• Integrated vital new data sources into the system. Used Informatica and SQL.
• Performed and published periodic data quality checks, created and configured match/merge rules. Used Java, SQL and Reltio.

May 2017 – Jul 2017 · 2 mos · Delhi, India

• Developed a marketing feature for PriceWoot, enabling Etsy sellers to advertise on Facebook to custom audience and analyse the
• adverts progress; generating revenue worth 8000$.
• Worked on Creww, meant for company managers. It enables the user to monitor and incentivize social media marketing. Used
• LAMP stack, JS and REST APIs.

Jun 2016 – Aug 2016 · 2 mos · Delhi, India

• Developed a web based management system in Java for the HR department of the firm.
• The system enables users to record of employee training programs and the company’s yearly expenditures using graphs. Used
• Java and MySQL.