SYSTEM ONLINE / svc: yash-goel.backend / role: backend engineer / net: NSUT · Delhi
CV ↗ --:--:--
● available for SDE / internship · 2026 Backend & Systems Full-Stack

Yash Goel builds systems that stay up.

Backend engineer working where reliability is the feature — FastAPI services, PostgreSQL at scale, Kubernetes operations, and observable LLM pipelines. I care about the unglamorous parts: latency, schema design, and tracing that makes 2 a.m. debugging survivable.

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01

Profile

B.Tech ICE · Netaji Subhas University of Technology · Delhi · 2023–present

I'm a backend-leaning full-stack engineer who treats correctness and observability as first-class features, not afterthoughts.

Most of my work lives below the UI: consolidating fragmented services into clean APIs, tuning database schemas so queries stay fast as data grows, and wiring telemetry through AI workflows so failures are visible instead of mysterious.

At Flywheel I shipped production backends end to end: unified chat and voice in one FastAPI service, optimized a scaling glossary for latency, and instrumented LLM pipelines across the stack. I operated Kubernetes clusters directly—node lifecycle, autoscaling, scheduling—and led Pedal Playground’s technical track, a pan-India analog pedal build event that ties my software work back to where signal and systems start.

~30%query latency reduced
40%duplicate code removed
70,000+users handled by systems
2,000+glossary entries optimized
02

Experience

// production work, in chronological order
MAR 2026 —
PRESENT

Backend Engineer

Flywheel
  • Engineered backend systems for Sarlaben, Amul's multilingual AI chat and voice assistant serving farmers, unifying chat and voice services into a single FastAPI application and reducing code redundancy by 40%.
  • Shipped milk-collection, vet and AI-technician booking tools on Amul AI's chat + voice stack, enabling farmers to check payout/deduction history and schedule livestock services in Gujarati—1,200+ lookups and 650+ call bookings in production, replacing manual passbook reconciliation and phone bookings.
  • Designed and shipped a 5-turn non-meaningful call-termination gate on Amul AIs voice helpline, automatically ending calls stuck onunclear speech, STT failures, or repeated fillers instead of looping the full LLM pipelinetriggering 500+ graceful hangups, saving anestimated $0.40-$0.50 per call in avoided agent, STT/TTS, and telephony spend.
  • Owned Langfuse telemetry across chat and voice AI backends, lifting debugging and observability efficiency ~40% through centralized tracing of LLM workflows.
  • Ran Kubernetes cluster operations — node lifecycle, autoscaling validation, and scheduling with cordon, drain, taints, and node selectors.
  • Reworked the PostgreSQL schema and query paths for 2,000+ glossary entries — ~30% lower latency and real-time updates without redeployment.
FastAPI PostgreSQL Kubernetes Langfuse Docker
TECHNICAL
TRACK

Technical Lead — Pedal Playground

NSUT · Techno-Music Build Event
  • Led the technical track for Pedal Playground, a pan-India event where 15+ college teams designed and built their own guitar effect pedals from scratch.
  • Set the circuitry brief and judged builds as teams tuned resistance and capacitance across analog stages to shape gain, tone, and signal response.
  • Bridged my Instrumentation & Control background with hands-on hardware — the same signal-path thinking I bring to backend pipelines.
Analog Circuitry Audio Electronics Tech Lead
03

Selected Builds

// self-directed systems, deployed & documented
04

Stack & Foundations

// what I reach for, grouped by layer

Languages

  • Python
  • C++
  • SQL
  • JavaScript
  • HTML / CSS

Backend & Data

  • FastAPI
  • REST APIs
  • Redis
  • PostgreSQL
  • MongoDB / MySQL
  • Data Modeling
  • Marqo

AI / LLM & Infra

  • LLM Integration
  • Langfuse Tracing
  • Context Management
  • Moderation Pipelines
  • Kubernetes
  • Linux · Git

Frontend & CS Core

  • React.js / Next.js
  • Tailwind CSS
  • Data Structures & Algos
  • DBMS
  • OOP
// fintech & payments

Reliability under load

Payments and consulting platforms run on systems that can't fail quietly. Schema discipline, latency tuning, and tracing are exactly the muscles I've been building.

// platform & SaaS

Services, not scripts

I think in services and contracts — consolidating backends, designing extensible permission models, and shipping APIs other teams can build on without breaking.

// applied AI

Observable LLM workflows

I've owned the telemetry layer for production AI backends. When LLM pipelines misbehave, I'd rather read the trace than guess.

Let's build
something reliable.↗

Open to 2026 software-engineering internships and full-time roles — backend, full-stack, or platform. If you're hiring for systems that need to stay up, I'd like to hear about it.