# Shreyas Waghmare

> Senior Software Engineer · SCALER AI LABS · Bengaluru, IN · available · 2026.
> Contact: hi@shreyas.se.
> Currently: building RL environments, authoring SWE-Bench tasks, wiring up data pipelines, shipping internal AI tools, shipping voice agents, tuning sub-ms search.

## About

**Engineer. Builder. Curious about how things scale.**

I work on **AI infrastructure**, **realtime systems**, and the internal tools companies live inside. Started as an intern at Scaler in 2023; full-time soon after. Now at **Scaler AI Labs** — founding team, building RL environments, eval tasks (SWE-Bench, Terminal-Bench), data pipelines, and the AI tooling the research team runs on.

I care about the unglamorous parts: the call that answers in 800ms, the search that returns under a millisecond, the CRM your team doesn't dread opening. If a product feels effortless, someone did the hard work under the hood. That's the part I enjoy.

Outside work: a first-principles thinker, occasional hackathon winner, and Bengaluru-based optimist about the next decade of software.

- **50+ eng** — org I build with
- **$10M+** — revenue generated
- **5.4 cr+** — annual costs cut
- **7+ yrs** — experience

## Experience

### Senior Software Engineer — Scaler AI Labs (current)
_Aug 2025 to present · Bengaluru_

- Led engineering for the **enterprise data vertical** — processing **terabytes** of data through high-throughput distributed pipelines for **PII/BII detection & removal** at scale.
- Designed a **reusable RL-environment framework**, cutting environment setup time by **~70%** and enabling repeatable task setups across **10+ AI trainers**.
- Built a **Ray-based distributed compute platform** for baselining RL tasks, cutting experiment turnaround **3x**; internal platforms run **hundreds of concurrent experiments**.
- **LLM-based evaluation pipelines** with deterministic graders — reliable scoring at scale with **<2% variance** across runs.
- **Automated validation checks** replacing manual review, improving data approval rates by **40%**.
- **Dockerized environments** for external AI partners, adopted across **5+ partner integrations**; added auth, structured logging & alerting (PagerDuty/Datadog) to reduce MTTD.
- Architected & shipped the internal **task-management platform** from scratch within a **4-person** team, on schedule.

### Senior Software Engineer — Scaler Academy
_Jan 2024 to Jul 2025 · Bengaluru_

- Led the **in-house CRM** from inception — secure auth, reusable **permission templates**, and lead management (filtering, stage tracking, email, owner assignment).
- Built an **AI-powered Sales Training platform** (ElevenLabs + Gemini + Deepgram), improving sales productivity **1.5x** and cutting ramp-up by **2 weeks**.
- Led the **Internal Meetings Platform** — watermarking and interactive elements (polls, quizzes, surveys) serving **50,000+ active learners**.
- Built an **admin panel** for assisted live-class workflows, cutting instructor onboarding **30%** across **200+ instructors**.
- Owned critical **on-call** (DB CPU/IOPS, Sidekiq queue depth); upgraded AWS **RDS/Lambda** to remove maintenance overhead.

### SDE II · Content Manager — Scaler Academy
_Nov 2021 to Dec 2023 · Bengaluru_

- Led the **Scaler Topics** CS curriculum — maintained an average article rating of **4.6** across **1000+ articles**.
- Managed **4 topics/quarter** (Linux, Data Structures, OS, DBMS, React…), set up writer/reviewer hiring, and personally reviewed **25%** of published articles.
- Led the **USA launch** of Scaler Academy — backend & frontend changes for the US region.
- Drove the **Scaler Neovarsity** initiative with **Woolf University** — hands-on low-level design & implementation.
- Hardened the platform with expanded **Cypress + RSpec** coverage and tracking across major flows.

### Product Engineer — Borderfree Technology
_Aug 2020 to Oct 2021 · Hyderabad_

- **Product Lead** for the mobile app — interactive **live-video commerce** that doubled (**2x**) user engagement.
- Led the **React Native** team — shipped a full iOS + Android app from scratch (React + Golang) with custom native components; integrated Google/Facebook APIs for live streaming to social platforms.
- Deployed **Jitsi Meet** on EC2 autoscaling — **500 concurrent users/session** at **99.9% uptime**.
- AWS: Lambda, API Gateway, CloudFront, CloudWatch, EC2, CloudFormation, S3, MediaLive, Route 53.

### Business Technology Analyst — ZS Associates
_Jun 2019 to Jul 2020 · Pune_

- Delivered **4 end-to-end** software projects with cross-functional teams of **5–15** across data engineering and operations.
- Designed & deployed a field-facing **automation tool** for a multi-country pharmaceutical client — adopted by **5,000+ field users** across **3 countries**.
- Built automation scripts boosting operations efficiency, with successful large-scale go-lives.

## Projects

### 01. Real-time voice agent for sales calls
_flagship · 2025_

A low-latency calling platform that picks up, holds a real conversation, and books meetings. Built on Gemini + Deepgram + ElevenLabs, tuned for 15+ concurrent calls without sounding like an IVR.

**Stack:** Gemini, Deepgram, ElevenLabs, Node.js, Redis, WebRTC

**Role:** Lead engineer · architecture, latency, orchestration

- **<800 ms** — avg latency
- **15+** — concurrent calls
- **24/7** — uptime

### 02. In-house CRM that replaced a ₹5.4 Cr vendor
_scale · 2024_

Architected the in-house CRM that retired LeadSquared in 4 months. Zero-conflict RBAC across 12+ modules, sub-millisecond filtering on 3M+ leads, a no-code workflow builder, and double-digit concurrent A/B tests from day one.

**Stack:** Next.js, TurboRepo, ElasticSearch, PostgreSQL, React Flow, Kafka

**Role:** Frontend architecture · search infra · RBAC · workflow engine

- **90%** — cost reduction
- **3M+** — leads indexed
- **100%** — team adoption

### 03. Call audit pipeline at 10K calls/month
_compliance · 2024_

Built the automated call-intelligence layer. Every sales and support call gets transcribed, classified, scored against a compliance policy, and fed back as a coaching nudge. LLMs catch the issues a manual QA pass tends to miss.

**Stack:** Python, FastAPI, OpenAI, AWS MSK, Postgres, OpenSearch

**Role:** Pipeline architecture · LLM prompting · review tooling

- **10K+** — calls/month
- **94%** — precision flagging
- **3 d** — review-to-prod loop

### 04. Sales AI simulator: agents that role-play as leads
_training · 2025_

An internal training arena where AI agents role-play as buyers across personas, objections, and stalling tactics. Reps practice live, get scored, and walk into the real call already warmed up.

**Stack:** Gemini, TypeScript, Next.js, Postgres, pgvector

**Role:** End-to-end · prompts, eval harness, frontend

- **6 wks** — rep ramp-up cut
- **40+** — persona library
- **5x** — practice volume

### 05. Founding work at Scaler AI Labs (current)
_current · founding · 2025–_

RL environments (single + multi-agent) for computer-use agents, SWE-Bench and Terminal-Bench eval tasks, data pipelines, and the internal AI tools the research team runs on. Founding team — started Oct '25 inside Scaler, workspace spun out Apr '26.

**Stack:** Python, TypeScript, Playwright, Docker, RL · PPO/GRPO

**Role:** IC Senior Software Engineer · mentor to junior eng across workstreams

- **50+** — engineers in org
- **3** — research partners
- **7** — workstreams

## Now — Scaler AI Labs · founding team

Splitting the week across RL environments for computer-use agents, authoring SWE-Bench and Terminal-Bench eval tasks, the data pipelines that feed them, and the internal AI tools the research team relies on. Partnering with 3 global AI research labs — the bar keeps moving, which is the fun part.

- **reading:** DeepMind's SIMA paper, again. This time for the eval harness.
- **learning:** PPO tuning + process supervision for browser-use tasks.
- **listening to:** A lot of Khruangbin while the GPUs spin.

## Skills

- **Generative AI:** **Gemini**, **OpenAI**, **Anthropic**, **Computer-use agents**, **RL (PPO/GRPO)**, LangChain, Deepgram (ASR), ElevenLabs (TTS)
- **Languages:** **TypeScript**, **Python**, JavaScript, Ruby, C++, SQL
- **Frameworks:** **Next.js**, **React**, Node.js, FastAPI, Ruby on Rails, GraphQL
- **Libraries:** Redux / RTK Query, React Flow, Prisma, Sentry, TurboRepo
- **Infrastructure:** **AWS**, ECS / EC2 / RDS, OpenSearch / Elastic, MSK · Kafka, Docker, Jenkins, Redis
- **Patterns I love:** Event-driven, RBAC / Zero-conflict, A/B + feature flags, Workflow engines
- **Learning next:** Rust, native CUDA, iOS / Swift
- **Currently learning:** **Process supervision**, **Eval design**, WebGPU

## Links

- LinkedIn: https://www.linkedin.com/in/shreyas-waghmare4/
- GitHub (personal): https://github.com/techiespace
- GitHub (work): https://github.com/shreyas-scaler
- LeetCode: https://leetcode.com/u/techiespace/
- Résumé: /Shreyas_Waghmare_Resume_2026.pdf