P1Lights Out

AvinashKalamati

Software Development Engineer Backend & AI Infrastructure

I build RAG agents and backend systems that run in production — and contribute to the open-source tools behind them.

Software Development Engineer @ Quadrant Technologies (client: Microsoft) · Open to software engineering roles

  • 70+

    Production workflows owned

  • 100K+

    API requests / day — Doppular

  • <200ms

    Vector search latency

  • 1M+

    Telemetry records / day

P2Driver Profile

About

Fast systems. Built to finish.

Backend and AI infrastructure is my home circuit. At Quadrant Technologies, working for Microsoft, I build RAG agents on Azure AI Foundry with LangGraph and MCP, and own a Python / Airflow framework that keeps 70+ production workflows running.

Before that I co-founded Doppular — a social app that matches you with people around the world who look like you — and built its distributed backend to handle 100K+ API requests a day, with vector search answering in under 200ms.

My style is root-cause over patches: reproduce it first, fix where it actually breaks, and ship the regression test with the fix. Same discipline as a race weekend — preparation wins, guesswork loses.

Avinash Kalamati

Software Development Engineer

Base
Redmond, WA
Current drive
SDE — Quadrant Technologies (client: Microsoft)
Focus
Backend · RAG · AI Agents · Data Pipelines
Stack
Python · C# · TypeScript · Azure · AWS
Open source
testcontainers · llama-agents · Azure samples
Education
M.S. Data Science, Clarkson University — GPA 3.8
Also
B.Tech Computer Science, JNTUK
Off track
Bikes · Cars · Anything with a throttle
Status
Open to software engineering roles

P3Race Calendar

Experience

Four drives, real numbers. Every result below shipped to production or publication.

Round 01 CurrentJun 2025 — Present

Software Development EngineerQuadrant Technologies · client: Microsoft

  • RAG agents on Azure AI Foundry with LangGraph & MCP — manual lookup time down 30%.
  • Owns a Python / Airflow framework running 70+ production workflows.
  • C# / .NET compatibility tooling cut Windows runtime issues 27% (300 → 219/month) across 23 device configs.
  • Environment-drift automation cut drift defects 40%; SonarQube / Bandit gates + Grafana alerts cut deployment errors 25%.
  • Azure AI Foundry
  • LangGraph
  • MCP
  • Airflow
  • C# / .NET
Round 02 FounderSocial · Matching

Co-FounderDoppular

A social app that matches you with people around the world who have similar faces — “alike in looks, unique in life.”

  • Multi-tier distributed backend sustaining 100K+ API requests/day — Node.js, TypeScript, Express, MongoDB, Redis, BullMQ.
  • Python FastAPI + Milvus HNSW vector-search microservice at sub-200ms latency.
  • AWS (EC2, S3, CloudFront, KMS) with Docker and Kubernetes.
  • Node.js
  • FastAPI
  • Milvus
  • Redis
  • Kubernetes
Round 03 InternMay 2024 — May 2025

Software Engineer InternSkipline

  • Telemetry ingestion at 1M+ records/day, with ingestion failures down 30%.
  • PySpark / SQL pipelines made 20% faster.
  • PySpark
  • SQL
  • Telemetry
Round 04 ResearchSep 2023 — May 2024

Research AssistantClarkson University

  • PyTorch / scikit-learn pipelines reaching up to 98.4% balanced accuracy.
  • Published in Machine Learning with Applications.
  • PyTorch
  • scikit-learn
  • Published

P4Car Setup

Skills

Read it like a car setup sheet — what's under the bodywork, grouped the way I'd actually reach for it on a build.

Power Unit

Languages

The engine
  • Python
  • Java
  • C#
  • C++
  • TypeScript
  • SQL

Chassis

Backend & Data

Structure & handling
  • REST APIs
  • Microservices
  • Kafka
  • Redis
  • PostgreSQL
  • MongoDB
  • Apache Airflow
  • Node.js
  • FastAPI

Aero

Cloud & DevOps

Downforce & delivery
  • AWS
  • Azure DevOps
  • Docker
  • Kubernetes
  • Grafana
  • CI/CD
  • Git

Electronics

AI & Agents

Telemetry & brain
  • RAG
  • AI Agents
  • MCP
  • LangGraph
  • Azure AI Foundry
  • Azure AI Search
  • GenAI

Highlighted = core stack I use most

P5Podium

Open Source

Open-source results — called exactly as they stand. None of these are merged yet; the approvals, green CI, and downstream validation below are the real scoreboard.

  1. P1 Flagship build

    New GcsContainer module

    testcontainers-python · PR #1145

    A brand-new fake-gcs-server container module for the testcontainers ecosystem — my first open-source PR. Approved by a maintainer and validated downstream in the panodata/omniload suite, where all 3 GCS integration cases passed unchanged as a drop-in replacement.

    Review approved · Downstream validatedView PR — testcontainers-python PR #1145
  2. P3 Root-cause fix

    PickleSerializer round-trip fix

    run-llama/llama-agents · PR #838

    “SwEu” was deserializing to 1 — deserialization tried pickle before JSON and base64 decoding lacked validation. My fix addresses the root cause, not just the symptom, and ships with regression tests. The most complete of three competing fixes.

    Open · Fix + regression testsView PR — run-llama/llama-agents PR #838

WIP On the surrounds

Functional API resume / task replay langchain-ai/langgraph · Issue #9475

Claimed and in progress: on resume, the Functional API re-runs a @task whose exception the entrypoint already caught, instead of replaying its recorded outcome. Checkpoint / task-replay semantics, with a self-contained repro using InMemorySaver.

Claimed · Fix in progress
Illustration of a rider on a sport motorcycle leaning into a racetrack corner

P6Paddock

Off Track

Bikes, cars & anything with a throttle

Off the clock I'm an autophile through and through — superbikes, race liveries, carbon everything. Sport is the mindset I bring to code too: train, measure, shave the lap time, repeat.

Current target — first motorcycle · saving in progress

P7Team Radio

Contact

Team radioAK 01 → You

“Radio check. I’m listening.”

Open to software engineering roles — backend, AI infrastructure, and platform work. Fastest way to reach me is email or LinkedIn; my code is all on GitHub.

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