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Sarthak UserSU
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Sarthak User

@sarthakuser4

Software Engineer building reliable data pipelines and AI-driven applications to prevent risk and accelerate performance.

India
Message

What I'm looking for

I’m looking for a role where I can build backend systems that scale reliably, strengthen compliance, and incorporate applied ML (RAG, NLP, and computer vision) to deliver low-latency, production-ready products.

I’m a Software Engineer in the Corporate & Investment Bank at J.P. Morgan Chase & Co., where I build production systems that improve reliability, compliance, and performance. I specialize in engineering workflows and pipelines that keep downstream data aligned with regulatory standards.

In my current role, I engineered a Comparison Workflow Tool using Python and SQL to validate trade downstream messages against regulatory standards, preventing data discrepancies and mitigating fines scaling up to $300,000. I also developed environment monitoring tools with React, JavaScript, and Python to speed up logging and resolution of critical system pain points.

I migrated trade event processing for 5M+ daily events to a highly available Kafka-based architecture, reducing latency and improving throughput. I strengthened system security by deploying strict YAML-based schemas via Git and robust CI/CD pipelines, achieving 100% compliance with 0 downtime.

Previously, as an engineering intern, I architected a large-scale cloud data migration from Cassandra to AWS using S3, EC2, Lambda, and Flask APIs, driving $500,000 in projected annual infrastructure savings. I also build applied ML products like an AI interview prep platform using RAG (LlamaIndex, PyTorch), graph modeling (Neo4j), and real-time speech transcription (OpenAI Whisper), plus NLP and computer vision projects with Transformers, BERT, LSTM, and OpenCV.

Experience

Work history, roles, and key accomplishments

J.P. Morgan Chase & Co. logoJC
Current

Software Engineer

Jul 2024 - Present (2 years)

Engineered a comparison workflow tool to validate downstream trade messages against regulatory standards, preventing data discrepancies and mitigating fines up to $300,000. Developed internal monitoring tools and migrated trade processing to a highly available Kafka-based architecture.

Education

Degrees, certifications, and relevant coursework

Thapar Institute of Engineering and Technology logoTT

Thapar Institute of Engineering and Technology

Bachelor of Engineering, Computer Engineering

2020 - 2024

Grade: CGPA: 8.62

Activities and societies: Technical Head & CS Mentor for FROSH/TIET admissions council (Sep 2021–Feb 2022), leading backend for the main website and running Python/Django/HTML/CSS workshops for 300+ freshmen.

Earned a Bachelor of Engineering in Computer Engineering at Thapar Institute of Engineering and Technology from 2020 to 2024.

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