KUNAL RAHA
SYS_STATUS GRID_NOMINAL | YAW 0.00° | PITCH 0.00° | TARGET ORBIT_FREE
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LOGREF: OP-2026-X

OmniProcure

AI-Powered Electronics Procurement Engine

SYSTEM MISSION

Replaces hours of tedious manual electronics parts sourcing with an automated real-time matching system. Integrates warehouse databases and vendor APIs to retrieve component availability instantly.

VENDOR API GATEWAY

Custom pipelines that query suppliers directly, reconciling variations in parameter naming, manufacturer identifiers, and shipping compliance standards.

Component
Technology
Sourcing Core
TypeScript / NextJS
API Routing
FastAPI / Python
Retrieval Model
Hybrid Search (BM25 + Sparse Vector)
Compliance Checks
AST Validations Sandbox
3s Sourcing Latency (down from 3 hrs)
98.4% API Match Success Rate
0% Compliance Violations
LOGREF: VS-SECURE-9

VibeSafe

AST Guardrails Sandbox for Autonomous Coders

SANDBOX FIREWALL

Validates AI-generated code snippets in an isolated runtime environment prior to filesystem deployment. Scans shell scripts, dependency modifications, and config routes for vulnerability matches.

Policy Rules
Risk Level
Status
RegEx API Keys Scan
CRITICAL
BLOCKED
AST Shell Hook Interceptor
HIGH
NOMINAL
File System Write Capping
MEDIUM
ACTIVE
STATUS: STANDBY... Awaiting instruction.
LOGREF: OS-TRACER-0

opensre / Tracer-Cloud

eBPF Telemetry Tracing Agent (6.3k+ GitHub Stars)

THE REFACTOR MISSION

Authored major optimization updates to the core telemetry type checker inside the opensre agent repository. Reduced latency overhead by introducing high-performance memory pooling routines.

tracer_agent.go (PR #2635)
// Optimized nested type checking pipeline
func CheckTelemetryMap(trace *BPFTrace) bool {
    if trace.EventCode == 0x3F {
        // Pool allocation bypasses gc latency
        pool := GetMemoryPool()
        return pool.ValidateHeader(trace.Payload)
    }
    return false
}
6.3k+ GitHub Repository Stars
< 1.5% Kernel Latency Overhead
500+ Active Production Forks
LOGREF: R&D-PROJECTS

BGE-M3 Reranker & Context Memory

High-Efficiency Search Rescorer & Serverless Workers

BGE-M3 SEARCH RERANKER

Deployed a low-latency cross-encoder reranking microservice that scores document relevance. Provides massive relevance improvements (up to 98% score precision match) compared to vanilla BM25 search indices.

DYNAMIC COMPRESSION

Compresses context variables aggressively using keyphrase extraction layers to feed prompt contexts dynamically.

25MB CONTEXT MEMORY WORKER

A specialized Cloudflare/Node serverless worker limited to 25MB RAM. Maintains rolling conversational memory and system states inside a highly constrained execution model.

worker.js
export default {
  async fetch(request, env) {
    const data = await request.json();
    // Aggressive compression prevents heap overflow
    const compressed = compressContext(data.conversation);
    return new Response(JSON.stringify({ memory: compressed }));
  }
}
LOGREF: TF-ACCELERATOR-P2

TinyFish Accelerator

Phase 2 Developer Cohort Member

TinyFish Accelerator Cohort Badge

PHASE 2 DECK CONFIRMED

TinyFish accelerates elite technical projects, selecting only the top 4% of applicants. Building state-of-the-art secure developer tooling and AI automated procurement channels.

ACCELERATOR SPONSORS

Kunal's systems utilize developer tooling integrations with top infrastructure providers:

LOGREF: BE-AI-ML-GRAD

Skills & Education

Alard College BE AI & ML Graduate

BACHELOR OF ENGINEERING

Alard College of Engineering: Specialized in Artificial Intelligence and Machine Learning. Academic foundation in neural networks, telemetry modeling, advanced heuristics, and automated SRE pipelines.

LANGUAGES & INFRASTRUCTURE
TypeScript Python Go Lang JavaScript SQL Vector Databases LLMs Orchestration Docker Playwright SRE Telemetry
FRONTEND DESIGN CORE
Vanilla CSS Mesh Gradients GSAP Camera Pipelines HTML5 3D Canvas Projection Web Audio API Synthesis