Drove cross-functional deliveryacross Product, QA, Design Customer Success to ship high-impact features aligned with customer and business goals.
Established engineering standards covering code reviews and release governance to ensure platform scalability, reliability, and maintainability.
Introduced AI-assisted development workflows to enhance developer productivity, accelerate delivery timelines, and improve overall team efficiency.
Led architecture and delivery of a high-scale auction platform processing 3M+ bids/day with real-time bidding, notifications, and reporting systems.
Built scalable real-time infra to support peak fundraising events, ensuring high availability, low latency bidding, and seamless user experiences.
Integrated save-card, charge automatically, and POS payment workflows via multi-gateways, including Stripe and Blackbaud Merchant Services.
Build OTP-based authentication for unregistered users, streamlining onboarding, reducing friction, improving participation and payment conversions.
Scaled the engineering team by hiring 8 engineers in 3 quarters while mentoring direct reports through structured growth and performance programs.
Senior Backend Developer
Almabase
03.2023 - 04.2025
Re-architected analytical service using ClickHouse and MySQL to handle 100M+ annual touchpoints, reducing query response from 25 sec to 200ms.
Architected scalable email workflow frameworks delivering 2M+ daily communications using async processing with Redisqueue and Azure func apps.
Improved database performance and reliability by optimizing queries, indexing strategies, and processing pipelines to ensure seamless data flow.
Enhanced data sync frameworks between multiple data sources, enabling accurate real-time data sync and significantly improving system responsiveness
Evaluated and implemented revenue-impacting product features, driving customer engagement, platform adoption, and measurable business growth.
Developed and maintained core product services, libraries, and backend frameworks ensuring scalability, modularity, and long-term system reliability.
Built a custom Django ORM-style abstraction layer for Elasticsearch, enabling seamless query execution and simplified backend integration.
Engineered high-throughput data ingestion systems using Redis queues to pull partner data in real time, ensuring reliable and scalable processing.
Software Development Engineer
INDMoney
03.2022 - 03.2023
Contributed to foundational platform architecture and integrated third-party trading APIs enabling secure, low-latency, and seamless trading execution.
Designed and built in-memory data frameworks using Redis to store trade and stock data, improving retrieval speed and transaction processing efficiency.
Architected and developed a robust order management system to store high-volume real-time trading data securely in PostgreSQL databases.
Designed and implemented notification service delivering accurate real-time trade updates, enhancing user visibility and trading decision responsiveness.
Developed high-performance REST APIs powering live trading dashboards and integrated them into the Django-based admin platform for monitoring.
Collaborated cross-functionally with QA and FE teams to streamline trade execution workflows and improve platform stability and performance.
Engineered comprehensive unit testing suites using GoMock and Ginkgo achieving near-complete code coverage and long-term service reliability.
Software Development Engineer - Intern
INDMoney
05.2021 - 03.2022
Built Python-based analytical programs to get market indicators including momentum, trend, volume, and volatility using historical OHLC stock data
Evaluated indicator performance across multiple time horizons and market conditions, validating accuracy and reliability for trading decision support.
Developed machine learning–driven investment basket models derived from Nifty 50, Nifty 100, and Nifty 200 to optimize portfolio selection strategies.
Algorithmic Trading in Python - Intern
Atraxia Private Limited
06.2020 - 08.2020
Built multi-variable time series forecasting models using LSTM networks on tick-by-tick stock market data to improve price prediction accuracy and reliability
Developed a fully automated algorithmic trading system in Python integrating third-party brokerage APIs to enable scalable, low-latency trade execution.
Education
B.Tech + M.Tech Dual Degree 5Year. 2017-2022 -
Indian Institute of Technology
Kharagpur, India
Skills
Programming Languages: Python,GoLang, C, SQL, HTML & CSS