Paarangat Rai Sharma
@paarangatraisharma
Founding engineer building production-grade AI agent products end-to-end—fast, observable, and cost-optimized.
IndiaWhat I'm looking for
I’m a founding-engineer-grade AI product builder who ships production AI agent systems end-to-end. In 6 months, I shipped 8 products across production, beta, and pre-launch—covering iOS, web, desktop, and browser—while keeping quality high through observability, versioning, and cost/latency discipline.
At JettyAI, I built GutBut, a Claude-powered AI gut-health companion, from solo ownership through a TestFlight closed beta. I architected and delivered four codebases (~25k LOC TypeScript) with an agent designed around tool/function calling constraints, prompt workflows with diff-gated publish, SSE-based real-time streaming, and production LLM observability via PostHog—cutting nightly insight regeneration cost to near-zero using SHA-256 hash-dedup.
I’ve also built regulated, real-world healthcare AI with Docwise—shipping a GDPR/UKCA/ICO/DTAC/DSPT-aligned Chrome extension and clinician recording workflow with role-based personalization for NHS personas. Previously at NULLZEC, I engineered sub-3s multi-model LLM orchestration in an Electron desktop app using a low-latency pipeline with routing, circuit breakers, and self-healing performance modes—always prioritizing reliability under real constraints.
Experience
Work history, roles, and key accomplishments
React Native Engineer (Intern)
Valtrium
Mar 2026 - Present (2 months)
Owned end-to-end React Native delivery for 6 consumer iOS apps using Claude Code-driven agentic workflows, reaching 736+ downloads across live apps. Built and shipped products including Siddhartha and Kathavani (live on App Store) and delivered feature-complete builds/pending launches for Phoenix, WatchIQ, PokeScan, and a wake-up call app, plus internal analytics and content pipelines.
Full-Stack Developer (Intern)
Docwise
Dec 2025 - Present (5 months)
Built an ambient AI scribe for NHS doctors across a Chrome extension, dashboard, marketing site, and NestJS backend, producing 178 commits in 10 weeks directly under the CTO. Implemented a Manifest V3 Chrome extension with patient consent flow and contextual fields for AI note generation, and delivered clinical recording UX with Canvas-based real-time audio visualization and browser navigation-los
Founding Engineer
JettyAI
Built GutBut, a Claude-powered AI gut-health companion, and shipped four TypeScript codebases (~25k LOC) including NestJS backend, Next.js web, Expo iOS app, and a superadmin for prompt management and LLM observability. Implemented an agent with tool/function calling and ephemeral caching to save ~400 input tokens per common call, and reduced nightly insight-regeneration cost to near-zero via SHA-
Software Engineering Intern
NULLZEC
Jan 2026 - Feb 2026 (1 month)
Architected a real-time multi-model LLM orchestration pipeline in an Electron desktop app (screen capture → perceptual hashing → filtering → semantic dedup → streamed LLM output) achieving sub-3s end-to-end latency. Built the Electron application with frameless overlays, Zod-validated IPC across 40+ channels, and decomposed a 2,100-line orchestrator into 8 DI modules with 304 Vitest tests.
Education
Degrees, certifications, and relevant coursework
Bennett University
Bachelor of Technology, Computer Science (AI)
Grade: CGPA 9.54 / 10
Activities and societies: Dean's List; 3x hackathon winner.
Pursuing a B.Tech in Computer Science (AI) at Bennett University with a CGPA of 9.54/10 and Dean's List recognition. Awarded as a 3x hackathon winner.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
Skills
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