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Ritwik Gupta

@ritwikgupta

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Software engineer focused on scalable backend systems and AI-powered pipelines that ship reliably.

India

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What I'm looking for

I’m looking to build secure, scalable backend systems with strong observability—ideally pairing AI pipelines (RAG/OCR) with reliable deployment on AWS. I want teams that value performance, testing, and clean engineering practices.

I’m a software engineer building secure, production-grade backends and AI-powered infrastructure. I’ve been architecting systems end-to-end—from data modeling and API design to observability and deployment—so they stay fast and dependable under real traffic.

In my freelance work, I architected a secure e-commerce marketplace using Django and Next.js, using Redis for session caching to reduce DB load. I optimized PostgreSQL performance through query plan analysis and indexing, resolved N+1 query issues, and added a pytest suite with structured logging and request tracing for production-grade API observability.

I also contribute to a massive distributed messaging platform, patching server-side bugs in a high-concurrency Python environment and fixing cross-platform authentication issues by enforcing consistent data constraints. My projects reflect how I like to engineer: OCR/NLP pipelines for healthcare data extraction, a GPU-accelerated key-value store designed to bypass the Python GIL, and a rootless container runtime using Linux namespaces, cgroups, and OverlayFS.

Experience

Work history, roles, and key accomplishments

Full Stack Engineering Intern

Tredence Inc

Jun 2026 - Aug 2026 (2 months)

Engineered backend and agentic systems: cut DB write amplification by 90% via a 7-module Redis/Postgres cache and hit an 83 LongMemEval score using 4-tier memory. Slashed multi-node agent compute costs by 90% via a successive-halving optimizer, and prevented silent tool-calling failures by patching an upstream framework bug.

Python SQL AWS CI CD Redis PostgreSQL fastAPI Elasticsearch Grafana Prometheus Azure

Education

Degrees, certifications, and relevant coursework

Thapar Institute of Engineering and Technology (TIET)

B.E., Computer Engineering

2023 - 2027

Grade: CGPA: 8.38

Activities and societies: Relevant coursework: Data Structures & Algorithms; Parallel & Distributed Computing; Database Systems; Microprocessor Based Systems Design.

B.E. in Computer Engineering at Thapar Institute of Engineering and Technology (TIET) from 2023 to 2027. CGPA: 8.38; relevant coursework included Data Structures & Algorithms and Database Systems.