Available for work

Hi, I'm Yash

Chicago, IL

I build and run production systems. Payment infrastructure moving millions of transactions a day, and the monitoring around it that keeps everything quietly boring the way it should be.

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01 / About

Build it, ship it, keep it running.

I'm a software engineer who cares most about what happens after the code ships. The deploys, the scale, the reliability, the pages at 2 AM. I recently finished my Master's at Illinois Institute of Technology in Chicago.

Before grad school I spent two years at Cashfree Payments working on the infrastructure that moves millions of payments a day. I owned backend services from design through production, automated the ops work I didn't want to do twice, and carried the pager, which taught me more about distributed systems than any course ever did.

My range across the stack is pretty wide. Terraform, Kubernetes, and AWS on the infra side. Java, Python, and FastAPI in the services layer. React and Next.js when something needs a UI. Give me a Terraform module to write or a production fire to debug and I'm happy either way.

Outside work I build small developer tools, mess around with LLMs, and drink too much coffee.

See My Experience

2+Years of Experience

30+Projects Built

10+Microservices Deployed

1M+Daily Transactions Handled

Yash Vardhan Sharma

Software Engineer · DevOps · SRE

Chicago, IL

yashvardhansharma2025@gmail.com

KubernetesTerraformAWSDockerPython

Software Engineer·DevOps·Site Reliability·Backend·Chicago, IL·

02 / Deploy History

Where I've been on call.

▸ JUN 2023 → AUG 2024 · BENGALURU, INDIA
Software Engineer
Cashfree Payments
- Replaced Jenkins with ArgoCD for GitOps-based CD across 50+ microservices, cutting deploy time from ~25 min to under 5 min per service and shipping daily releases.
- Built a payment webhook delivery service in Go with HMAC signing, idempotency, and backoff retries + DLQ, raising delivery success from 97.2% to 99.8% across hundreds of merchants.
- Designed risk blacklist/whitelist APIs in Go/Postgres/Redis, inline in the payment path at 18 ms p99, blocking 12,000+ fraudulent transactions/month at under 0.4% false positives.
- Reduced transaction latency 35% (from 450ms to 290ms) and scaled throughput to 10K RPS by refactoring Java microservices with async multithreading, containerized via Docker, and orchestrated on Kubernetes.
GoJavaArgoCDKubernetesRedisPostgreSQL
▸ SEP 2022 → MAY 2023 · BENGALURU, INDIA
Software Engineer Intern
Cashfree Payments
- Built a real-time reconciliation engine for payouts in Java with Kafka, Redis, and PostgreSQL, cutting failed payouts 28% and reconciliation time 70%.
- Provisioned AWS infrastructure (VPC, ELB, S3) as Terraform IaC, replacing manual setup with repeatable multi-environment deploys supporting 3x traffic growth, on infra that held 99.9% uptime.
- Built CI pipelines on Bitbucket with Dockerized builds and automated unit tests gating every PR, cutting post-release defects 40% on new APIs.
JavaKafkaTerraformAWSDocker
▸ MAY 2022 → JUL 2022 · CHENNAI, INDIA
Backend Engineer Intern
DLearners
- Built voice-processing API using Python (librosa) and TensorFlow inference engine to filter children's audio (age 3+) for speech screening platform, improving classification accuracy by 20%.
- Integrated multi-sensory learning content APIs to support game-based remedial platform serving 2,000+ students with dyslexia across 9 Indian states.
PythonTensorFlow

03 / Training Data

Where I studied.

▸ AUG 2024 → MAY 2026 · CHICAGO, IL

Illinois Institute of Technology

Master of Science in Computer Science

/ 4.0

tag: ms-cs · 2026

▸ JUL 2019 → JUN 2023 · CHENNAI, INDIA

Vellore Institute of Technology

Bachelor of Technology in Computer Science Engineering

/ 10.0

tag: btech-cse · 2023

04 / The Stack

The stack I reach for.

DevOps & Cloud(11)

73%

AWS

Azure

Terraform

Kubernetes

Docker

GitHub Actions

ArgoCD

Helm

Kafka

Linux

Bash

Observability(2)

67%

Prometheus

Grafana

Data & Infra(5)

75%

PostgreSQL

MySQL

MongoDB

Redis

Git

Backend(9)

77%

Python

Java

Spring Boot

Node.js

FastAPI

Express.js

Flask

Frontend(7)

86%

React

React Native

Next.js

TypeScript

JavaScript

Tailwind

HTML5

AI / LLM(6)

76%

LangChain

LangGraph

LangSmithRAG (hybrid retrieval)

QdrantRAGAS

$ gh stats --user Parzivalart3mis --live

Public Repos46

GitHub Stars1

Followers4

Top LanguagesPython · TypeScript · HTML

04 / Shipped

Featured Projects

01 / 07

GitOps CI/CD Pipeline

A GitOps pipeline that takes a commit all the way to production without anyone touching a server. GitHub Actions lints, tests, security-scans, and ships versioned Docker images; ArgoCD keeps the Kubernetes cluster synced to Git as the single source of truth. Environments promote dev → staging → prod with approval gates, failed health checks roll back automatically, and Prometheus and Grafana watch the whole thing end to end.

GitHub Actions

Kubernetes

ArgoCD

Prometheus

Docker

Bash

Live Demo View Build

02 / 07

PayGuard — Agentic Compliance Co-Pilot

An agentic compliance co-pilot for payment disputes. A LangGraph multi-agent system drafts citation-grounded compliance language over a Qdrant hybrid-retrieval pipeline — hitting 0.91 RAGAS faithfulness and cutting median draft time 38% on a 200-case benchmark. Human-in-the-loop gates mean the AI never finalizes anything on its own, and RAGAS regression tests wired into CI keep quality from drifting. Runs on AWS ECS with PostgreSQL checkpointing, Redis, and LangSmith tracing.

LangGraph

Qdrant

FastAPI

PostgreSQL

Redis

AWS

Live Demo View Build

03 / 07

TrustGuard — AI Abuse-Report Triage

An AI triage system for trust-and-safety teams drowning in abuse reports. Three single-responsibility agents — classifier, severity scorer, action recommender — run on Gemini, grounding every decision in community guidelines through pgvector RAG. The guardrails do the unglamorous production work: prompt-injection detection, PII redaction before inference, confidence calibration, and hard escalation rules so the system can never auto-ban or escalate to law enforcement on its own — child safety is always P0, and anything uncertain routes to a human. 296 tests at 89% coverage. FastAPI, PostgreSQL 16 + pgvector, React 18, Prometheus.

Gemini

Python

FastAPI

PostgreSQL

React

Prometheus

Live Demo View Build

04 / 07

GatewayLLM — Multi-Provider LLM Gateway

An OpenAI-compatible LLM gateway written in Go — one stateless binary, not a constellation of microservices. Policy-based routing with classified retry and failover across OpenAI, Groq, and Gemini, backed by a Redis-Lua circuit breaker shared across replicas. A two-tier cache — Redis exact-match, Qdrant vectors at 0.95 cosine — serves exact hits at 0.42 ms p50 versus 128 ms live calls, cutting spend 6× on a 180-request replay. Observability comes standard: OpenTelemetry, Prometheus, and an auto-provisioned Grafana dashboard. Ships with Docker, deployed on Cloud Run.

Redis

Qdrant

PostgreSQL

Prometheus

Docker

View Build

05 / 07

Inflect — AI Language Coach

A language-learning platform that rolls a grammar notebook, spaced-repetition flashcards, and an AI coach into one app. The coach runs on the Gemini Live API — a real-time voice and video session that knows everything you've written, quizzes you on your own cards, and corrects your pronunciation as you speak. Under the hood: a custom SM-2 spaced-repetition algorithm, Postgres full-text search, and ephemeral tokens so the API key never touches the browser. Next.js 16, TypeScript, Neon Postgres, and Upstash Redis.

Next.js

TypeScript

Gemini

PostgreSQL

Redis

Live Demo View Build

06 / 07

AI Project Engineer Agent

A virtual junior project engineer for industrial automation firms. Feed it scope documents, technical specs, and client requirements as PDFs, and GPT-4 — orchestrated through LangChain with PDF parsing and text chunking — comes back with discipline-wise task breakdowns across mechanical, electrical, PLC, and civil work, plus execution risk reports, clarification questions for the client, and phased timelines. The groundwork that normally eats an engineer's first week. FastAPI on the backend, React + Tailwind up front.

Python

FastAPI

React

Live Demo View Build

07 / 07

GitPulseAnalytics — Multi-Agent Repo Analytics

Ask a GitHub repo questions in plain English, get charts back. A four-agent LangChain + OpenAI pipeline — Writer generates the analysis code, Reviewer scores it, Executor runs it in a sandbox, and an Orchestrator coordinates the three — then renders Matplotlib / Plotly visualisations of commit history, issue trends, and PR stats in a Streamlit dashboard. No hand-written queries anywhere: the agents do the analysis work themselves. PostgreSQL and the GitHub REST API underneath.

Python

PostgreSQL

Jupyter

Live Demo View Build

Open to Work·Get in Touch·Open to Work·Get in Touch·

06 / Open a Channel

Get in Touch

If you're hiring, building something interesting, or just want to talk infrastructure — my inbox is open.

Phone

+1 (312) 776-9053

yashvardhansharma2025@gmail.com

Location

Chicago, IL

Find me on

GitHub

yash@chicago:~/contact

Hi, I'm Yash

Build it, ship it, keep it running.

Yash Vardhan Sharma

Where I've been on call.

Software Engineer

Software Engineer Intern

Backend Engineer Intern

Where I studied.

Illinois Institute of Technology

Vellore Institute of Technology

The stack I reach for.

DevOps & Cloud(11)

Observability(2)

Data & Infra(5)

Backend(9)

Frontend(7)

AI / LLM(6)

Featured Projects

GitOps CI/CD Pipeline

PayGuard — Agentic Compliance Co-Pilot

TrustGuard — AI Abuse-Report Triage

GatewayLLM — Multi-Provider LLM Gateway

Inflect — AI Language Coach

AI Project Engineer Agent

GitPulseAnalytics — Multi-Agent Repo Analytics

Get in Touch