Developer Relations Engineer β’ AI/ML β’ Mobile Dev β’ YouTuber (1M+ Subs)
DevRel at HydraDB, shipping products on the platform and growing its builder community | Previously Microsoft Security | 1M+ YouTube subscribers on Singh in USA
Georgia State University
BS & MS in Computer Science
summa cum laude | GPA: 4.0
2016 - 2020
HydraDB
Developer Relations Engineer
Reference Apps & Community
San Francisco, CA
Microsoft Corp.
Software Engineer
AI/ML & Mobile Engineering
Atlanta, GA
Singh in USA
YouTube Channel
1M+ Subscribers
Tech & Podcast
I'm a builder who thrives in early-stage, ambiguous environments. I like owning problems end-to-endβgoing from a vague idea to something real that people actually use. Speed, judgment, and quality all matter.
Delivered complex Android POS UI for major customers like Waffle House in a tight 1-month deadline. Product served thousands of locations nationwide.
Built production RAG system with Vector DB for security test automation. Owned full pipeline: retrieval, generation, verification, and C# test coverage. Made AI testable and observable.
Built intelligent content filter for Twitter/Instagram showing only competitive coding trends and projects. Keeps me competitive while cutting noise.
Vibe coded series of AI apps with thumbnail and caption generation features. Replaced expensive creative software with custom-built tools. Learning new stacks from scratch and shipping fast.
Developer Relations Engineer
Software Engineer
Software Engineer
Systems Engineering Intern
HydraDB β’ Web β’ Shipped
Budgeting app built on HydraDB, now one of the platform's flagship reference apps.
π Part of 100K+ visitorsHydraDB β’ Web β’ Shipped
Skill-building app on HydraDB, used to dogfood the platform and surface API and docs gaps.
π Part of 100K+ visitorsJava β’ OCR β’ Android
Gas price finder app using OCR (90.1% accuracy). Built in 36 hours.
π Best Overall Concept MentionJava β’ Beacons β’ Android
Location-based promotional app for retail stores.
Kotlin β’ AR β’ EdTech
AR music app teaching CS concepts to elementary students offline.
Java β’ Python β’ Computer Vision
Medication-to-speech converter using computer vision (2s response).
π₯ 2nd Place Health & WellnessAwards: HackGT (Best Concept) β’ HackGSU (1st Crypto, 1st Anthem Grand Prize) β’ Outstanding Undergrad Research β’ 10+ total
Creating tech content about AI, software engineering, and developer tools. Collaborating with major tech companies including Microsoft, OpenAI, and Anthropic.