May 2025 – Sep 2025 · 4 mos · Gurugram, Haryana, India

• Quantitative development
• Developed microservices architecture for systematic trading using statistical strategies, Functionalities: Tick/Historical Data sourcing,
• Order management, Generic vendor interface, Backtesting strategies, Performance reports, Mock market data, real time custom screeners
• with UI.
• Achieved ultra-low latency under 20ms for Level 2 order book data processing of 10,000+ instruments using gRPC
• communication between microservices.
• Built workflows to maintain historical data for Stocks/Futures/Options for Minute/Day timeframe [10+ years] using TimescaleDB with
• multiple aggregated materialized views.
• Implemented event-driven backtesting engine generating detailed performance reports with multi-level granularity (strategy >
• variation > config > keystore > trades > orders.)
• Created real-time screeners including filtered high volume orders across index option strikes, day range breakout across NSE stocks,
• used for hypothesis testing and simplified fast market data visualization.
• Tech Stack: C++, Go, gRPC, React.JS, PostgreSQL, Timescale, Kubernetes, Redis streams, AWS.
• Quantitative Research
• Designed and backtested multiple directional/non-directional strategies like weekly index option-selling between standard deviation ranges,
• day range score-based intraday index directional futures, achieving CAGR 42% with 20% maximum drawdown between
• 2019-2024 period.
• Conducted timeseries analysis on stock returns, Used MLR to identify actual weights of Nifty 50 stocks using top 200 stocks by FFMCAP.
• Tech Stack: R, Python, Time Series Analysis, Statistics.

Sep 2024 – May 2025 · 8 mos · Gurugram, Haryana, India · On-site

• Led development of Zomato’s District Shopping platform from inception to production, collaborated with 4 engineers to onboard
• 100+ brands and 2,000+ stores across India withing 8 months for 10M+ users.
• Code owner and on-call for shopping backend service, managing lifecycle of core entities like stores, brands, franchises, campaigns.
• Additionally contributed to designs, code reviews, and mentoring junior team member throughout the process.
• Integrated shopping on cross-team services, synchronizing relevant business details across dining, search & discovery asynchronously on
• update events, DB schema modifications for shopping specific benefits and user role management. Supported cross-service release cycles.
• Developed bulk-op dashboards for bulk on-boarding core entities using CSV’s and admin dashboards for single/partial updates of store,
• brand, campaign’s.
• Enhanced system reliability and performance by integrating Redis and Kafka for distributed caching and event-driven
• synchronization across services, Maintaining ETL configuration/Schema to sync DynamoDB data daily with analytics SQL warehouse.
• Tech Stack: Golang, Python, gRPC, DynamoDB, Kafka, Redis, Grafana, Data Dog, ETL, AWS

Apr 2024 – Jul 2024 · 3 mos · Bengaluru, Karnataka, India · Remote

• Implemented config-variable table along with CRUD APIs
• for golang service, added private load balancer in
• kubernetes service to block the access of config-variable
• api’s from open internet.
• Propagated the service async queue’s metrics data to
• prometheus datastore and created grafana dashboard
• using the same.
• Optimised VPA validation, used redis to maintain queue of
• VPA’s older then threshold period and re-validating in bulk
• during less traffic hours.
• Postgres DB caching framework for golang service,
• improved APIs response time by caching db queries.
• Tech Used: Golang, redis, prometheus, kubernetes, Django,
• ArgoCD

Jul 2022 – Mar 2024 · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

• Onboarding complete Personal Loan repeat/top-up user journey on internal platform, implementing change bank, offer upgrade, offer
• generation, in-review, and disbursement, rejection flows. Increased daily repeat loan disbursals by 29% (17cr to 22cr) and daily
• top-up loan disbursals by 33% (12cr to 16cr) through optimized user experience
• Designed new EMI penalty charge system impacting 100% of customers, significantly improving Day 0 collections performance
• Streamlined EMI repayment process by reducing user touchpoints, increasing app-to-payment SDK conversion funnel from 67% to
• 92%
• Collaborated with product, design, legal teams to enhance user experience while maintaining regulatory compliance across loan products.
• Tech Stack: Java, Spring Boot, Kotlin, Kibana, Grafana, Kafka, Redis, Postgres.

Jan 2022 – Jul 2022 · 6 mos · Gurugram, Haryana, India

May 2019 – Oct 2019 · 5 mos

• As a Research Consultant, I researched and generated Alphas(mathematical model or strategy, which places different weights on different stocks in a portfolio)
• on different datasets of US, Asian and European Markets. Made 100+ predictive Signals

Apr 2019 – Sep 2019 · 5 mos · Goa, India

• Was Part of Core Members during Entrepreneurship Summit - Coalescence of BITS Pilani Goa