Autonomous systems · LLM products · Developer platforms · Open to remote
Auburn Hills, MI · meghabhasker.me · linkedin.com/in/megha-bhasker · cloudy020501@gmail.com
I ship AI systems that make decisions — and make them reliably.
For the past 3 years I've owned the full PM loop on production AI: a multi-model autonomous routing engine (5 providers, 8 self-healing fallback strategies, real-time confidence scoring), ML-assisted pipelines processing 3M+ records, and observability infrastructure tracking 300K+ monthly API calls. I define the guardrails, write the functional specs, instrument the telemetry, and iterate off real signal.
My side projects keep me close to what's actually shippable with today's models.
| 300K+ | 3M+ | 18% | 60% |
| Monthly API calls owned | Records automated | Match success boost | QA rework cut |
| 40% | 25% | 20–35% | 3 |
| Support investigation time ↓ | Trial-to-first-call conversion ↑ | API latency cut | LLM products shipped |
Jun 2024 – Present · Remote
- Designed and shipped a production autonomous routing engine — 5 geocoding providers, 8 self-healing fallback strategies, real-time confidence scoring, override escalation logic. Boosted match success 18%, cut latency 20–35%
- Defined responsible AI guardrails — failure modes, confidence floor thresholds, escalation policies; authored functional specs as single source of truth across engineering, QA, and legal
- Led root cause investigation of an AI model regression — identified two-layer calibration failure, authored executive incident report, produced engineering remediation spec
- Automated ML-assisted data ingestion pipeline for 3M+ building records — days to hours, 60% less QA rework
- Built AI product telemetry from scratch — token-scoped dashboards tracking 300K+ monthly API calls, model fallback rates, cost-per-resolution; cut support investigation time 40%
- Rebuilt AI developer experience — playground, sandboxes, onboarding guides — increasing trial-to-first-call conversion 25%
May – Aug 2022 · Chennai, India
- Led AI-assisted IoT platform deployments for 3 enterprise clients — Reliance, CCD, Raintree Hotels
- Designed automated Power BI dashboards ingesting real-time IoT sensor streams for 20+ stakeholders
Dec 2021 – Apr 2022 · Chennai, India
- Engineered automated IoT sensor pipeline measuring 4 CNC coolant parameters in real time
- Built end-to-end data flow from sensor ingestion to AI-assisted anomaly detection and push alerting
Next.js 14 Claude API Vercel 2026
LLM-powered tool that converts plain-language feature descriptions into engineering-ready functional specs — user stories, Given/When/Then acceptance criteria, edge cases, QA scenarios, success metrics. Owned product vision, system & API design, secure Anthropic proxy, Vercel deployment, and telemetry.
React Claude API LLM Move Analysis Vercel 2026
AI chess training platform with Claude API for real-time move analysis and natural language coaching. Adaptive onboarding, puzzle engine, AI-driven accuracy scoring, mistake review. Responsible AI design (explainability + guardrails) and telemetry instrumented throughout.
IMU Sensors ML Classification DFMEA Boston Scientific Mentorship 2023
Full product lifecycle for an IMU-based movement classification wearable — user research (80+ interviews), $3B TAM analysis, DFMEA risk assessment (65% RPN reduction), go-to-market strategy.
R Twitter API NLP Sentiment Analysis 2021
Automated NLP sentiment pipeline ingesting and analyzing social data across 12 ad campaigns. Surfaced AI-driven comparative performance insights via R visualizations.
AI Product: LLM integration (Claude API) · Multi-model routing & scoring · Responsible AI & guardrails · Telemetry & evaluation design · Prompt engineering · AI product roadmapping · Functional spec writing
Technical: Next.js · NestJS · REST APIs · Docker · GitHub Actions CI/CD · Terraform · Kubernetes · Redis · PostgreSQL · Python · R · SQL · System Design · API Design
Product Management: Platform & infrastructure PM · Autonomous systems · OKRs · Stakeholder alignment · Agile/Scrum · Go-to-market
Domains: LLM products · AI-integrated platforms · Geospatial AI · Developer tools · Autonomous decision systems · IoT · Enterprise SaaS
M.S. Engineering Management — Northeastern University, Boston · 2022–2024 VP, Aspiring Product Managers Club · 150+ attendee product conference · GPA 3.8
B.Tech, Electronics & Communication Engineering — VIT Chennai · 2018–2022 IEEE Published Researcher: IoT-based AI Control System (IEEE Xplore, 2021) · GPA 3.6
- IoT-based Control System for Home Automation — IEEE Xplore, 2021
- Smart Home Security System with Arduino & IoT — IJCRT, 2020
Open to AI PM, Platform PM, and Automation PM roles. Based in Michigan, open to remote. Require H1B transfer sponsorship — straightforward petition, no lottery.