Swapnil Das

CEO

Singapore, Singapore, Singapore6 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in low latency systems development.
Strong background in quantitative analysis and trading.
Proficient in Python and C++ for financial applications.

Stackforce AI infers this person is a Quantitative Analyst with expertise in low latency trading systems.

Contact

dasswapnil96@gmail.com LinkedIn

Skills

Core Skills

Web Development

Other Skills

Android StudioAutodesk InventorBootstrapCC++DjangoGithubGoHTMLJavaJavaScriptLaTeXMicrosoft OfficeMySQLPython

About

Currently, I work as a Associate (Quant research and Trading) at Alphagrep Securities, Mumbai. My work comprises of developing low latency systems to trade on various markets and doing Quantitative analysis to find models to trade on those markets. I have to work on C++ for low latency systems and Python for quant, statistics and model building/analysis part. I have graduated from IIT Delhi with a B.Tech degree in Computer Science and Engineering, I have done an internship previously at NUS Singapore and Amazon Bangalore. My B.Tech thesis was on the field of applications of Computer Vision and Machine Learning in low powered systems.

Experience

Alphagrep

7 roles

Junior Partner

Jul 2024 – Present · 1 yr 8 mos

Senior Associate

May 2023 – Present · 2 yrs 10 mos

Senior Associate

Dec 2022 – Apr 2023 · 4 mos

Senior Associate

Promoted

Jul 2022 – Nov 2022 · 4 mos

Associate

Jul 2021 – Jun 2022 · 11 mos

Senior Analyst

Promoted

Jul 2020 – Jun 2021 · 11 mos

Analyst

Jul 2019 – Jun 2020 · 11 mos

Acciojob

Project Intern

Jan 2019 – Apr 2019 · 3 mos · IIT Delhi

Developed key features like videochat, messaging, videostreaming, chat scheduler, etc for the Acciojob portal. It included working with Django framework and Javascript. Used Twilio API for videochat and messaging.

DjangoJavaScriptWeb Development

Amazon

Software Development Intern

May 2018 – Jul 2018 · 2 mos · Bengaluru Area, India

Auquan

Project Intern

Jan 2018 – May 2018 · 4 mos · IIT Delhi

Completed Auquan’s four month training program on Introductory Quantitative Trading Strategy development.
Completed capstone project on ”LSTM Prediction Model to Develop Long Short Equity Strategy for stocks on NSE".

National university of singapore

Research Intern

May 2017 – Jul 2017 · 2 mos · Singapore

Research intern for 3 months mainly working in the field of distributed systems in data-centers and also in computer networks.
Power optimization in heterogeneous cluster by scheduling jobs in whimpy nodes with a trade-off in performance.
Achieved 10% low power using Intel Celeron processor compared to Intel Xeon processor with same cores/Mhz.
Developed modules in Go for monitoring the health(CPU/Memory/IO) of the nodes in the cluster. Cadvisor is used.
Rate adaptation in commodity off the shelf routers by changing per packet bandwidth in Wi-Fi technology.
Compiled Linux kernel from scratch with changes in device driver to reflect the changes in the bandwidth.