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Ankit Gond

Python Backend Engineer · Algo Trading & Real-Time Systems · FastAPI · Kafka · LLM/RAG · Open to Senior Backend & AI Roles

Mumbai

4+ years of work experience

Symphony Fintech Solutions Pvt Ltd
Dec 20253 mosFeb 2026

• Designed and executed load testing suites using Locust to validate trading platform scalability under high-concurrency trading sessions. • Automated end-to-end API test coverage for order placement, strategy execution, and signal generation workflows — reducing regression cycles before production releases.
Anand Rathi Share and Stock Brokers Ltd
Apr 20241 yr 7 mosOct 2025

Mumbai

• Architected in-house algo trading platform using Python, Kafka, Redis, and WebSockets for multi-strategy execution on live NSE/BSE data with sub-100ms order routing. • Built production Order Management System (OMS) — full order lifecycle, position tracking, and real-time PnL using Redis and PostgreSQL. • Developed risk analytics modules computing Implied Volatility (IV) and Value at Risk (VaR) across live options portfolios. • Designed FastAPI + asyncio WebSocket APIs for tick data streaming; integrated broker APIs (XTS) with retry and failover logic. • Built SPAN margin module and OHLC backtesting pipelines using multiprocessing for strategy evaluation.
Stoxboxin
Jun 20221 yr 11 mosApr 2024

Mumbai, Maharashtra, India

• Developed financial data processing tools using Python, Django, Flask, Express.js, and Pandas to automate market data ingestion, transformation, and visualization. • Built web feed handlers and chart data pipelines to efficiently process real-time and historical market data. • Designed a multi-threaded Java application to download, parse, and normalize NSE market files, improving data availability and analysis speed. • Implemented Redis Pub/Sub for real-time, event-driven communication between microservices, enabling low-latency data flow. • Created Flask APIs for executing algorithmic trading strategies, supporting live market execution and historical backtesting.
Apisero Inc.
Aug 20217 mosFeb 2022

Mumbai

Education

Shree L. R. Tiwari College of Engineering.

Bachelor of Engineering - BE, Information Technology

Shree L. R. Tiwari College of Engineering.

20174 yrs2021

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Headline

Python Backend Engineer · Algo Trading & Real-Time Systems · FastAPI · Kafka · LLM/RAG · Open to Senior Backend & AI Roles

About

Python Backend Engineer with 4 years building production-grade algorithmic trading systems and real-time market infrastructure. At Anand Rathi, I shipped an in-house OMS handling live order execution, position tracking, and PnL on NSE/BSE using Python, Kafka, Redis, and WebSockets. I've built risk analytics modules (IV, VaR), broker API integrations with failover logic, and OHLC backtesting pipelines. Currently expanding into LLM and agentic AI — working on RAG pipelines, multi-agent trading research systems, and LangChain-based tool-calling workflows using OpenAI and Gemini APIs. NISM Series 8 certified. Open to senior Python backend, AI engineer, or algo/data engineering roles where fintech depth and AI fluency both matter.

Location

Mumbai

Work experience

Automation Engineer Python at Symphony Fintech Solutions Pvt Ltd, Dec 2025 - Feb 2026 · 3 mos, • Designed and executed load testing suites using Locust to validate trading platform scalability under high-concurrency trading sessions. • Automated end-to-end API test coverage for order placement, strategy execution, and signal generation workflows — reducing regression cycles before production releases.

Algo Developer (Backend Python) at Anand Rathi Share and Stock Brokers Ltd, Apr 2024 - Oct 2025 · 1 yr 7 mos, Mumbai, • Architected in-house algo trading platform using Python, Kafka, Redis, and WebSockets for multi-strategy execution on live NSE/BSE data with sub-100ms order routing. • Built production Order Management System (OMS) — full order lifecycle, position tracking, and real-time PnL using Redis and PostgreSQL. • Developed risk analytics modules computing Implied Volatility (IV) and Value at Risk (VaR) across live options portfolios. • Designed FastAPI + asyncio WebSocket APIs for tick data streaming; integrated broker APIs (XTS) with retry and failover logic. • Built SPAN margin module and OHLC backtesting pipelines using multiprocessing for strategy evaluation.

Software Engineer at Stoxboxin, Jun 2022 - Apr 2024 · 1 yr 11 mos, Mumbai, Maharashtra, India, • Developed financial data processing tools using Python, Django, Flask, Express.js, and Pandas to automate market data ingestion, transformation, and visualization. • Built web feed handlers and chart data pipelines to efficiently process real-time and historical market data. • Designed a multi-threaded Java application to download, parse, and normalize NSE market files, improving data availability and analysis speed. • Implemented Redis Pub/Sub for real-time, event-driven communication between microservices, enabling low-latency data flow. • Created Flask APIs for executing algorithmic trading strategies, supporting live market execution and historical backtesting.

Software Engineer at Apisero Inc., Aug 2021 - Feb 2022 · 7 mos, Mumbai

Education

Bachelor of Engineering - BE, Information Technology, Shree L. R. Tiwari College of Engineering.