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Pranav Sharma

@pranavsharma2

Message

I build scalable full-stack systems and AI-driven products, turning ambiguity into reliable production.

India

Message

What I'm looking for

I’m looking to build production-grade systems end-to-end—especially where ambiguous problems need pragmatic trade-offs. I want to design scalable architectures, improve performance, and ship reliable LLM/agent workflows with real user impact.

I’m an engineer focused on designing scalable systems, solving ambiguous problems, and building products from first principles. I bring 5+ years of experience taking ideas from 0 → production, with a strong emphasis on system design, performance, and pragmatic trade-offs.

At Perfectly Hired (Founding Engineer), I designed an end-to-end hiring system with ingestion, evaluation, and decision layers to enable scalable candidate processing. I structured LLM-driven workflows (OpenAI, Gemini) within deterministic pipelines for reliability despite probabilistic outputs, and I built data-fetching and caching plus asynchronous processing flows to minimize redundant computation and reduce user-facing latency.

Previously at SelfDecode (Full Stack Developer), I built a document generation pipeline for dynamic, white-labeled reports at scale, separating data transformation from presentation to improve maintainability and performance. Earlier, at TED Consulting (Full Stack Engineer & Technical Lead), I led a team of 5 and owned complex systems end-to-end—real-time event-driven order tracking, geospatial query translation, multi-tenant SaaS architecture, and performance-conscious handling of deeply nested organizational structures.

Experience

Work history, roles, and key accomplishments

Current

Founding Engineer

Current

Perfectly Hired

Nov 2024 - Present (1 year 7 months)

Designed an end-to-end hiring system with ingestion, evaluation, and decision layers to enable scalable candidate processing. Built LLM-driven workflows with deterministic reliability and reduced recruiter effort by ~50%.

System Design Data Pipelines OpenAI Gemini LangGraph

Full Stack Developer

SelfDecode

Aug 2021 - Nov 2024 (3 years 3 months)

Designed a document generation pipeline producing dynamic, white-labeled reports at scale. Improved maintainability and performance by separating data transformation from presentation and resolving rendering/data-flow bottlenecks for large datasets.

Document Generation data transformation Frontend Architecture Performance Optimization JavaScript React Django PostgreSQL

Full Stack Engineer & Tech Lead

TED Consulting

Jun 2020 - Jul 2021 (1 year 1 month)

Led a team of 5 to build real-time order tracking, geospatial search, and communication platform systems. Designed event-driven architectures and multi-tenant SaaS data models, improving delivery velocity by automating build and deployment pipelines.

Distributed Systems Event Driven Architecture Real Time Systems Geospatial Multi Tenant SaaS Models Schema Design WebSockets

Teaching Assistant & Mentor

AttainU

Nov 2019 - May 2020 (6 months)

Taught students problem decomposition, debugging, and system thinking. Mentored learners to move beyond syntax and frameworks toward understanding underlying abstractions.

Mentoring Teaching Debugging Systems Thinking