Team
Boys From Bangalore
Project Concept
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Entry
Status: Submitted
Last saved: February 21 at 5:32 PM PST
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Suprad Parashar Team Lead RSVP Approved
Software Engineer at Microsoft
> Designed the 4-layer hybrid routing algorithm, multi-signal validation framework, confidence calibration, and Gemini Flash cascade in main.py. Tuned all routing thresholds. Integrated FunctionGemma via Cactus Compute.
AI enthusiast and a coder. Love exploring new stuff and learning new things. I play the piano and travel.
Anything to do with AI
A one stop place to learn music with the help of AI
SHREEVERSHITH KOLLABETTU RSVP Approved
AI-enabled Software Engineer at Not Employed
> Built the FastAPI WebSocket voice server, on-device Whisper transcription pipeline, browser frontend UI, and the deterministic regex parser with multi-intent splitting.
I’m a software engineer and AI builder focused on shipping production-grade systems that blend backend engineering with applied AI. My background spans cloud-native services, asynchronous workflows, and agentic AI platforms, with experience building RAG systems, multi-agent workflows, and AI-enabled automation used by real users. I enjoy working close to the metal—debugging trade-offs, improving reliability, and turning research ideas into systems that actually run.
Local-first and on-device AI, agentic systems that ship, hybrid inference across edge + cloud, function-based LLMs, privacy-preserving AI, and new UX patterns enabled by low-latency intelligence. I’m especially interested in collaborating with engineers exploring practical trade-offs in deploying AI systems beyond the cloud-only paradigm.
I’m currently experimenting with local-first agentic systems that combine lightweight on-device models with cloud fallback for complex reasoning. This includes building function-based agents, tool orchestration, and context-aware routing to decide when inference should run locally vs. in the cloud. I’m primarily focused on latency, privacy, and reliability in hybrid edge-and-cloud AI workflows.
Mallikarjun Nagaraja RSVP Approved
Software Engineer at securite
> Built the function executors (live weather API, YouTube playback, macOS notifications, timers, contacts). Developed the FunctionGemma response-text recovery parser for 4 output formats.
Hi, I am Mallikarjun (Arjun) a Software Engineer specializing in Machine Learning at securITe Technologies, where I build ensemble ML systems to detect cyberattacks in healthcare network traffic. I hold a Master's in Business Analytics and AI from UT Dallas and have experience across ML engineering, data analysis, and product management. When I'm not working, you'll find me traveling or behind a camera. Learn more at malnag.com.
AI/ML Engineering roles – Actively exploring opportunities in the Bay Area and open to relocation.
Applied AI in Sports Analytics – Building AI-powered tools for real-time sports moment capture (currently working with Snap Spectacles).
Domain Adaptation & Generalization – Solving the gap between synthetic training data and real-world production performance.
Healthcare AI & Cybersecurity – Intersection of ML with security in high-stakes environments.
Hackathons & Builder Communities – Love collab
Emotion Detection and Sentimental Analysis
Dhanush Gowda S RSVP Approved
Product Manager at Gabriel AI
> Managed project coordination, benchmarking runs, testing edge cases, and preparing the submission. Handled demo scripting and presentation materials.
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