Anshuman pandey
@anshumanpandey1
I build high-throughput backend services and distributed data systems.
IndiaWhat I'm looking for
At AlphaGrep, I optimize production PnL and reference-data workflows, cutting pipeline memory usage from approximately 65 GB to 2.2 GB and execution time from approximately 21 minutes to 5 minutes using Python, DuckDB, and Parquet.
Previously at Myntra and Amazon, I built scalable backend components for pricing, coupon generation, distributed storage, and query systems. I enjoy solving reliability, latency, data-processing, and system-design challenges across e-commerce and financial technology.
Experience
Work history, roles, and key accomplishments
Trading Application Engineer
AlphaGrep
Aug 2025 - Present (1 year)
Optimized a production PnL reference-data enrichment pipeline using Python, DuckDB, and Parquet, reducing peak memory consumption from ~65 GB to ~2.2 GB (29x) and execution time from ~21 minutes to ~5 minutes (4x) across major exchanges. Designed and implemented a disk-backed reference-data access layer using predicate pushdown and column pruning, eliminating redundant CSV parsing across 50+ machi
Education
Degrees, certifications, and relevant coursework
Motilal Nehru National Institute of Technology Allahabad
Bachelor of Technology, Electrical Engineering
2018 - 2022
Grade: CPI: 8.51
Pursued a Bachelor of Technology in Electrical Engineering, achieving a CPI of 8.51.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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