RAUNAK MONDAL
Smartbite AI
Los Angeles,STATE_US
2
years of professional experience
Work History
Software Engineering Intern
5 Months- AI desktop agent startup | C#, .NET 9, Electron + React, Avalonia, Python | 30+ PRs, 289 commits
- Shipped the plugin SDK, PromptLab A/B harness, agent-memory backbone, injection-safe WebView2 DOM automation, and an Onshape CAD integration ported from Swift to C#.
- Led a defensive security audit across 7 attack surfaces, produced a severity-ranked 24-finding report, and landed fixes across 12 C#, TypeScript, Python, and PowerShell files.
- Implemented stable FNV-1a 64-bit experiment bucketing and pooled two-proportion z-test rollups, avoiding per-process .NET hash randomization that would reshuffle users after restart.
CMU Graduate Student Assembly | Backend & Database Developer
1 Year 9 Months- Student housing platform (rent-pgh.com) | PostgreSQL/Supabase, TypeScript, React | 240 PRs, 512 commits
- Own the production database layer for a CMU graduate-student rental-review platform: 85 RPC functions across 57 migrations and ~19,000 lines of SQL, using a two-schema architecture with authorization enforced through SECURITY DEFINER RPCs.
- Diagnosed and fixed rent-projection defects involving backward extrapolation and null/zero inflation; independently identified and remediated an IDOR and a missing publish-path role check.
- Built fuzzy address search with pg_trgm, PostGIS neighborhood assignment from city ArcGIS polygons, and nightly pg_cron rent-statistics re-aggregation; added Vitest and Playwright coverage against live staging.
- Oct
Founding Engineer
1 Year 9 Months- Built the core product from scratch and contributed to the CES 2026 live demo, developing LLM-agent workflows that paired recommendation with nutritional-constraint solving.
Education
B.S. - Computer Science, Machine Learning concentration
- Coursework: Data Structures & Algorithms using C, Computer Systems, Parallel & Sequential Data Structures and Algorithms, Computer Security, Functional Programming, Probability Theory, Mathematical foundation for CS, Matrices & Linear Transformation, Introduction to ML
- Teaching & Leadership: TA, Great Practical Ideas for Computer Scientists (07-131); AI Safety × Philosophy facilitator; Backend & Database Lead and Labraor mentor at ScottyLabs; CMU Open Compute Cluster software team
- Honors: 1st in CMU March Madness ML; 5th in CMU AI Safety Estimation; ARML National Math Competition Top 50; 5x AIME qualifier; Stanford SUMaC summer camp, National Merit Scholar finalist, Coca-Cola Scholar semifinalist
Skills
Languages: Python
TypeScript
C#
Rust
C
SQL
Java
Standard ML
Frameworks & ML: React
Electron
Node.js
.NET 9
Avalonia
PyTorch
torchaudio
Keras
scikit-learn
NumPy
hypothesis testing
bootstrap confidence intervals
LLM-agent design and evaluation
Data & Testing: PostgreSQL (PL/pgSQL
PostGIS
pg_trgm
pg_cron
RLS)
Supabase
Neo4j
Docker
Modal
Git
Linux
Vitest
Playwright
xUnit
Data & Testing: PostgreSQL (PL/pgSQL
PostGIS
pg_trgm
pg_cron
RLS)
Supabase
Neo4j
Docker
Modal
Git
Linux
Vitest
Playwright
xUnit
PUBLICATIONS
- Mondal, R. et al. “Which Sequence-Based Neural Network Architecture Yields Optimal Performance in Classification of Autism-Related Behavior,” AMIA 2024 (first author).
- Mondal, R. et al. “Are Robots Ready to Deliver Autism Inclusion?” ACM CHI 2024 (co-author).
Timeline
Software Engineering Intern
Twiny
05.2026 - CurrentRead More
CMU Graduate Student Assembly | Backend & Database Developer
Carnegie Mellon University, School of Computer Science
01.2025 - CurrentRead More
Founding Engineer
Smartbite AI
01.2025 - CurrentRead More
Carnegie Mellon University, School of Computer Science
B.S. from Computer Science, Machine Learning concentration
Read More