Sarthak User
@sarthakuser4
Software Engineer building reliable data pipelines and AI-driven applications to prevent risk and accelerate performance.
What I'm looking for
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
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.
Architected a large-scale cloud data migration from Cassandra to AWS using S3, EC2, Lambda, and Flask APIs. Managed stakeholders and contributed to projected $500,000 annual infrastructure savings.
Technical Head & CS Mentor
Official TIET Admissions Council
Sep 2021 - Feb 2022 (5 months)
Led backend development for the organization website and event platforms and supported CS workshops for freshmen. Delivered foundational concepts in Python, Django, HTML, and CSS.
Education
Degrees, certifications, and relevant coursework
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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