Divyansh Puri
Delhi
Summary
Founder and technical lead with extensive experience at npci in trading system development and risk management. Proficient in C++ and Python, delivering high-throughput solutions while promoting effective communication and collaboration. Achieved notable enhancements in project control and analytics, resulting in increased operational efficiency and improved client satisfaction.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Founder & Technical Lead
Divyansh Puri Enterprises
Goa / Delhi
10.2023 - Current
- Developed project-control and analytics systems for ₹2.5 Cr luxury villa to track vendor contracts, milestones, and cash flows in near real time.
- Created dashboards for spend, risk exposure, and performance vs. plan, reflecting risk-management and monitoring practices from trading systems.
- Established business strategies to drive growth and market presence.
- Managed daily operations to ensure seamless service delivery and client satisfaction.
- Developed partnerships with vendors to enhance product offerings and logistics.
Quant & Trading Systems
Self-Employed
Remote
01.2021 - Current
- Designed and maintained “Omni‑Quant” headless trading engine for MCX commodities, using event‑driven, multi‑threaded architecture for low‑latency, high‑throughput execution.
- Implemented signal generation services that transform raw market data and order book state into actionable trading signals for pricing, hedging, and execution (mean‑reversion, breakout, and regime‑filter modules).
- Built and optimised exchange/broker connectivity using REST APIs and WebSocket streaming data for order placement, order book snapshots, and live ticks (TCP/UDP networking, authentication, request signing, and rate‑limit handling).
- Developed modular components for in-house OMS, enhancing order routing, order state tracking, and position management, while implementing pre-trade risk checking and automating quoting/order-book interaction.
- Created real‑time data ingestion and distribution pipeline feeding strategies, risk layer, and monitoring; store historical market data and time‑series metrics for backtesting and trading simulations (familiar with InfluxDB/KDB+‑style time‑series databases).
- Conducted tick-to-trade latency analysis and performance profiling across network, kernel, and application code paths; identified and eliminated bottlenecks through concurrency, non-blocking queues, and optimized memory management.
- Packaged services in Docker, set up CI/CD pipelines for automated testing and deployment to Linux servers, and tuned runtime configurations for latency‑sensitive environments.
- Built risk-management and performance-tracking tools (PnL, drawdown, Sharpe, win-rate, slippage) and established automated monitoring/alerting systems for production trading.
Graduate Engineer Trainee / Software Engineer
National Payments Corporation of India (NPCI)
Hyderabad
02.2022 - 02.2023
- Joined School of Fintech + Learn‑While‑You‑Work program, integrating production work with advanced AI/ML and blockchain training.
- Supported core payments platforms in 24/7, low‑latency environment: designed and executed test cases, analysed logs and database records, ran regression suites across clearing, settlement, and routing flows to ensure system reliability.
- Contributed to internal blockchain proof‑of‑concepts using Hyperledger Fabric focused on secure, auditable workflows and high‑reliability infrastructure.
- Authored runbooks and incident notes with engineering, operations, and vendors, enhancing production monitoring and automating daily operational tasks.
Graduate Engineer Trainee, Service Desk
HCL Technologies (via HCL TSS)
Noida
07.2021 - 04.2022
- Diagnosed and resolved Windows, Active Directory, and network issues (TCP/IP) for 1,000+ global users via phone, email, and chat, enhancing user experience.
- Managed IT incidents and service requests in ServiceNow / Jira, achieving strict SLA targets in fast‑paced environment.
- Administered user accounts and access in AD and Office 365; created and maintained KB/SOP articles to improve troubleshooting efficiency.
AI Research Intern
Bennett University
Greater Noida
06.2019 - 07.2019
- Executed experiments on COCO 'stuff segmentation' utilizing deep neural networks (PSPNet, R‑CNN) on NVIDIA DGX infrastructure to advance segmentation accuracy.
- Conducted literature reviews to support ongoing research projects at Bennett University.
- Assisted in data collection and analysis for academic studies and publications.
- Collaborated with faculty on research methodologies and experimental designs.
Education
B.Tech (Hons.) - Electronics & Communication Engineering
HMR Institute of Technology And Management
New Delhi11-2020
Skills
- Trading system development
- Risk management strategies
- Execution strategy development
- Signal generation
- Trading simulations and backtesting
- Performance tracking tools
- C and Rust
- Python programming
- Numpy, Pandas, Scikit-learn expertise
- TensorFlow and OpenCV applications
- Low-latency design techniques
- High-throughput solutions
- System architecture design
- Multi-threading and concurrency
- Websocket data streaming
- API integration
- User authentication protocols
- Linux systems expertise
- Networking protocols
- Time-series database utilization
- Docker and Kubernetes proficiency
- CI/CD pipeline management
- Git version control systems
- Troubleshooting and problem resolution
- Project management
- Adaptability and flexibility
- Critical thinking skills
- Attention to detail
- Effective communication skills
- Ownership mindset
- Effective communication skills
- Ownership mindset
- Attention to detail
Profile - Name
Quant Developer / Trading Infrastructure Engineer
Certification
- Certified Hyperledger Fabric Developer (CHF), Kerala Blockchain Academy
- School of Fintech Program, Manipal Global Education + NPCI
- Summer Internship on Artificial Intelligence & Deep Learning, Bennett University
- Data Analytics (Excel, Statistics, Modelling), Internshala & Analytics Vidhya
- MATLAB Value Addition Program – Project 'Virtual Keypad', HMRITM / Modifica Tech
Selected Projects And Research
- Knuckle Fingerprint Recognition – CNN Biometric Model, Built CNN‑based recognition system on 500+ knuckle images (5 per subject), achieving ~98% test accuracy; implemented efficient data pipelines and evaluation scripts in Python.
- Object Detection & Segmentation – COCO Dataset, Implemented Mask R‑CNN segmentation pipeline reaching ~49% mAP, close to competition leaders; optimised data loading and GPU utilisation for high‑throughput training.
- Car Number Plate Extraction, Developed end‑to‑end number‑plate recognition system using OpenCV and KNN, including image preprocessing, localisation, OCR, and performance evaluation.
- Enhancement of Security and Energy Efficiency in WSNs – ML to the Rescue (IEEE), Co‑authored two IEEE papers demonstrating strong quantitative analysis, experimentation, and technical writing skills.
- COCO Dataset Stuff Segmentation Challenge (IEEE), Co‑authored two IEEE papers demonstrating strong quantitative analysis, experimentation, and technical writing skills.
Languages
English
Proficient (C2)
C2
Hindi
Native
Native
Punjabi
Proficient (C2)
C2
Timeline
Founder & Technical Lead
Divyansh Puri Enterprises
10.2023 - Current
Graduate Engineer Trainee / Software Engineer
National Payments Corporation of India (NPCI)
02.2022 - 02.2023
Graduate Engineer Trainee, Service Desk
HCL Technologies (via HCL TSS)
07.2021 - 04.2022
Quant & Trading Systems
Self-Employed
01.2021 - Current
AI Research Intern
Bennett University
06.2019 - 07.2019
B.Tech (Hons.) - Electronics & Communication Engineering
HMR Institute of Technology And Management