Aamir Sheikh

Software Engineer

Pune, Maharashtra, India5 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in C++ with a focus on low-latency systems.
Led significant protocol migrations in financial technology.
Automated log management, saving over 40 hours weekly.

Stackforce AI infers this person is a Fintech specialist with expertise in high-performance market data systems.

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Skills

Core Skills

C++Market DataPythonAutomation

Other Skills

C (Programming Language)CI/CDChef.ioCommunicationComputer VisionConcurrencyData AnalysisData AnalyticsData StructuresDebuggingDeep LearningDistributed SystemsELK StackFinancial MarketsGit

About

C++ Developer || Market Data Engineer || Low-latency systems || Competitive Programmer || AI Passionate about technology and problem-solving, I specialize in developing high-performance solutions for financial technology. With expertise in C++, Python, and market data systems, I have worked extensively on optimizing stock exchange applications, automating log management, and enhancing efficiency using tools like the ELK stack and Wireshark dissectors. I thrive in fast-paced environments, debugging complex issues and handling live market data challenges across multiple exchanges. With over 600+ LeetCode problems solved, I continuously refine my problem-solving skills and technical expertise. Previously, I led the Tech Lead role at Data Science Artificial Intelligence Club at COEP, further honing my leadership and analytical abilities. Beyond coding, I believe in learning and growing in a free, pragmatic, and uninhibited manner—ensuring both personal and organizational success. Looking forward to connecting and collaborating on innovative solutions in the world of finance and technology. Happy to connect!

Experience

5 yrs 7 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 11 mos

Current Experience

Trading technologies

2 roles

Software Engineer - Market Data | C++

Jul 2023 – Present · 2 yrs 11 mos · Pune, Maharashtra, India · On-site

Designed and implemented the MIAX Futures exchange adapter, enabling normalized market data feed; supported CME’s Red Spring Wheat launch in 2025.
Diagnosed low-latency production issues (e.g., packet loss, price blips) using tcpdump, pcap replays, and system tracing improved reliability across B3 (Brazil Stock Exchange) and Eurex.
Developed an asynchronous timeout mechanism with a dynamite thread model for paginated snapshot downloads, resolving all checksum-related stuck downloads.
Led B3 SBE protocol migration, aligning instruments with TT’s modern MDS architecture and ensuring seamless data delivery.
Tuned bare-metal infrastructure (Onload, LBM, NIC config, CPU affinity), achieving a 30% latency improvement on high-volume exchanges like CME.
Built an internal local market data server, reducing test setup time by 50% and improving developer workflow efficiency.
Introduced latency tracking tools and performance dashboards to proactively detect price delays and regressions in production.

C++Low LatencyMarket DataPerformance TuningDistributed Systems

Software Engineer Intern

May 2022 – Jul 2022 · 2 mos · Pune, Maharashtra, India · On-site

Automated market data log searches using Python and the ELK stack, reducing manual effort by 90% and saving 40+ hours per week.
Streamlined log analysis by pushing real-time data into Kibana, improving system visibility and accelerating troubleshooting.
Built a Lua-based Wireshark dissector for TFEX exchange packets (ITCH protocol over MoldUDP and SoupBinTCP), cutting manual debugging time by 50%.
Enabled packet replay and early detection of malformed/missing data, reducing incident investigation time by 2–3 hours.
Created market data decoders from exchange specifications, improving root cause identification accuracy by 70% and strengthening collaboration between dev and support teams.

PythonELK StackWiresharkAutomation