May 2023 – Jun 2025 · 2 yrs 1 mo

• C++ Software developer at High frequency trading firm (Hedge Funds).
• + Engineered low-latency trading system components (Private and Public Data Adapters) for BSE exchange infrastructure, reducing order execution latency by 5–18% and achieving 99.9% system uptime.
• + Leveraged memory pool allocation and runtime computation avoidance techniques to minimize heap fragmentation, reduce jitter, and improve execution speed by 100 nanoseconds (10%) per request/response.
• + Developed high-performance, real-time market data feed handlers for Binance and BSE using multithreaded C++ and event-driven architectures, improving data throughput, enhancing ingestion efficiency, and reducing signal generation latency by 300 nanoseconds.
• + Designed and implemented low-latency middleware components in C/C++ using STL, templates, OOP, multithreading, and lock-free concurrent data structures to support deterministic system performance.
• + Built a high-throughput WebSocket communication library from scratch, surpassing legacy implementations with a 2% performance gain, enhancing real-time market data transmission and system interoperability.
• + Created programs for performance profiling, latency benchmarking, system telemetry, and jitter analysis using Python and C++, enabling 99.9% early fault detection and identifying potential optimization scenarios.
• + Applied HFT best practices in systems programming, low-level memory management, TCP/IP socket programming, concurrency control, caching mechanisms, and NIC-level tuning to ensure robust, low-latency software design.
• + Mentored and provided technical guidance to a team of 9 colleagues, improving code quality by 15% and boosting development efficiency through collaborative problem-solving.
• + Implemented and optimized CI/CD pipelines using GitHub Actions, automating code deployment and testing processes to accelerate development and reduce errors.

Jan 2023 – May 2023 · 4 mos

• + Contributed to the R&D team in analyzing business logic and designing a proof-of-concept system for public and private data handlers across multiple exchanges (e.g., Binance/Crypto, BSE). Utilized efficient data structures, WebSockets, enhanced market APIs, and multicasting to support high-throughput, low-latency data processing.
• + Leveraged Pandas and JSON to efficiently handle large-scale market datasets, enabling optimal extraction, splitting, and merging of valuable data insights—resulting in a 70% improvement in processing performance
• + Developed Bash and Python scripts for system monitoring and maintenance, and built a fully automated testing environment using Python—reducing configuration errors and failures by 75\% on live systems, minimizing downtime and rollbacks.
• + Designed and implemented an efficient build system that enabled Quant users to share code and remotely build executables without direct access to proprietary code or libraries, increasing build frequency by nearly 10x.
• + Implemented and optimized CI/CD pipelines using GitHub Actions to automate deployment and testing workflows, accelerating development cycles and reducing deployment time and integration errors by up to 80%.

Apr 2021 – Jul 2021 · 3 mos · Mumbai, Maharashtra, India · Remote

• + Designed and developed scalable RESTful APIs to support NFT creation, listing, bidding, and transactions on the marketplace.
• + Built robust middleware components for request validation, role-based access control, and error handling across user types—creators, consumers, and administrators.
• + Designed and managed MongoDB schemas for storing user profiles, NFT metadata, ownership and transaction records.
• + Integrated authentication and authorization using JWT to secure user sessions and API access.
• + Collaborated with frontend and blockchain teams to enable minting and transfer of NFTs, ensuring seamless smart contract interaction via API endpoints.
• + Deployed and maintained backend services on cloud platforms (e.g., Heroku and AWS), ensuring high availability and minimal downtime.

Apr 2021 – May 2021 · 1 mo · Remote

• worked in the creation of custom blockchain based coin 'Tru-Coin' with help of golang.

Apr 2021 – Apr 2021 · 0 mo · India

• Built a Python application using the Instaloader module to extract over 200,000 India-based e-commerce Instagram profiles for market research and business intelligence. Leveraged multiprocessing to reduce data collection time by 80% and deployed the solution on Heroku for scalable, cloud-based execution.

Oct 2020 – Jan 2021 · 3 mos · Mumbai, Maharashtra, India

• Developed a multi-class classification system using Python, machine learning, and NLP techniques to automatically categorize webpages into main and sub-categories with over 97.4% accuracy. Implemented and compared multiple models including SVM, LSTM, RNN, XGBoost, and Decision Trees to optimize accuracy and performance in domain classification.