Pritam Kore

Software Engineer

Pune, Maharashtra, India5 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in low latency trading applications.
Proven track record in high-frequency trading solutions.
Strong leadership in developing trading infrastructure.

Stackforce AI infers this person is a Fintech professional specializing in high-frequency trading and low latency systems.

Contact

Skills

Core Skills

High-frequency TradingC++

Other Skills

AlgorithmsC (Programming Language)CommunicationData StructuresDebuggingDesign PatternsFIXForeign Exchange (FX) TradingGNU DebuggerJUnitJavaJiraLinuxMultithreadingNetworking

About

Software Engineer, currently working in a Multi strategy trading firm and providing Low latency/high throughput applications in C++. I create applications and infrastructure for an HFT firm that trades on the BSE and MCX.

Experience

5 yrs 10 mos

Total Experience

5 yrs

Average Tenure

10 mos

Current Experience

Sgx fx

Software Developer

Aug 2025 – Present · 10 mos · Pune, Maharashtra, India · Hybrid

Dolat capital

Software Developer

Aug 2020 – Aug 2025 · 5 yrs

+ Managing a team to build and deploy the end-to-end infrastructure for MCX, with applications developed on ETI/ EOBI, and other related systems.
+ Developed BSE exchange connectivity adapters and an Order Management System (OMS) for automated trade execution based on market conditions.
+ Engineered a UDP-based market data adapter with ultra-low latency for real-time data reception from the BSE Exchange.
+ Optimized packet forwarding using non-blocking TCP protocol, scaling server capacity and reducing operational costs.
+ Developed a real-time risk management system with extremely low latency to assess trader risk during trading hours.
+ Created a Market Data Adapter in C++ for real-time JSON data collection from Binance via WebSockets, integrated into trading systems.
+ Implemented a Square Off strategy, processing trades across various products in under two seconds with scalable design patterns.
+ Built a PNL (Profit & Loss) calculator utilizing multithreading and PostgreSQL triggers to handle real-time data and compute PNL across multiple servers.