Abhishek Patidar

AI Researcher

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in algorithm optimization with proven results.
Developed innovative firmware solutions for hardware compatibility.
Strong background in competitive programming and open source.

Stackforce AI infers this person is a Software Engineer with expertise in algorithm optimization and firmware development.

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Skills

Core Skills

Firmware DevelopmentSystem ReliabilityAlgorithm OptimizationPolynomial Processing

Other Skills

Abstract AlgebraAlgorithmsBenchmarkingBlockchainCC++CachingCascading Style Sheets (CSS)Competitive ProgrammingData StructuresGenerative AIGenerative AI ToolsGitGitHubHTML

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Mercor

2 roles

AI Software Engineer

Jul 2024 – Present · 1 yr 10 mos · Remote

Engineering Intern

Mar 2024 – Jul 2024 · 4 mos · Remote

Summer of bitcoin

Software Developer Intern

May 2024 – Sep 2024 · 4 mos · Sheridan, Wyoming, United States · Remote

Designed a robust firmware update system for 10+ ASIC models, ensuring full device compatibility.
Enhanced overall system reliability by 40% using smart caching and optimized update processes.
Developed a scalable, user-friendly solution simplifying firmware management and supporting remote servers.

Firmware DevelopmentSystem ReliabilityCachingRemote Server Management

Google summer of code

Software Developer @ SymPy

May 2023 – Sep 2023 · 4 mos · Remote

Optimized SymPy polynomial processing with sparse GCD algorithms, reducing computation time by 97%.
Implemented the PRS algorithm with sparse representations, improving GCD computation across domains.
Introduced benchmarks demonstrating 20–97% speed improvements across 20 algorithms in 5 domains.

Polynomial ProcessingAlgorithm OptimizationBenchmarking