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Sudarshan Kulkarni

Open to work0 years experience

AI Engineer

BengaluruTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

AI Engineer specializing in real-time voice AI, agentic LLM workflows, and low-latency backend systems.

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Standing Rank

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Developer Badges

Badges Pending

Skills & Technologies

31 skills
livekit webrtcdeepgram stt/ttsgroqsse streamingwebsocketsllm apisrag pipelinesvector embeddingsprompt engineeringagentic tool-callingmulti-step reasoningintent routingpythonfastapiasync pythonnode.jsrestful apispostgresqlpgvectorredissupabasedockeroauth/jwtnext.js 16reacttypescripttailwind cssclaude codecursorvercelrailway

Work Experience

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Projects

Cortex | Multi-Tenant RAG Platform

PythonpgvectorPostgreSQLSupabaseSSEClaude API
  • Production platform with 170 visitors, 417 page views in last 30 days (+448% growth) — multi-tenant with Google OAuth, Supabase row-level security, and route-level RBAC
  • Implemented hybrid RAG pipeline — semantic chunking, pgvector dense search + PostgreSQL BM25 sparse search fused via Reciprocal Rank Fusion (RRF) for highest-quality retrieval
  • Built custom SSE streaming layer delivering LLM tokens to UI at zero latency — no blocking wait for full response, dramatically improving perceived performance

Column8 | Agentic AI Platform — Voice Interview + ATS Scoring

FastAPINext.js 16PostgreSQLRedisLiveKitDeepgramGroq
  • Production SaaS with real paying users — 141 visitors, 339 page views in last 30 days (+176% growth), Razorpay monetized with HMAC webhook verification and credit-based access gating
  • Built live voice interview simulator over WebRTC — AI hiring manager loads candidate resume and JD as live context, conducts real-time adaptive interview with STT/TTS pipeline
  • Designed two-stage agentic ATS scoring pipeline using Zod schema-enforced structured outputs — LLM performs semantic matching against JD requirements, bypassing hallucination-prone free-form generation
  • Implemented SSE streaming for zero-latency token delivery to UI — integrated Upstash Redis sliding- window rate limiting replacing unbounded in-memory Map causing RAM leaks in production

Nexus | Real-Time WebRTC Voice AI Agent

FastAPIPythonGroqDeepgramChromaDBDocker
  • Built end-to-end real-time voice agent — LiveKit WebRTC orchestrating Deepgram STT, Groq LLM inference (Llama 3.3 70B), and Deepgram TTS as three coordinated async FastAPI services
  • Achieved sub-second conversational latency on Indian cellular networks — engineered HTTP timeout detection with live model failover to backup LLM endpoints under API failures
  • Implemented native ChromaDB RAG pipeline firing mid-conversation as an LLM tool call — retrieved context surfaces in real time without blocking voice response stream
  • Containerized all services with Docker multi-stage builds and docker-compose — single command deployment, production-ready

Kavya | Bilingual Voice AI Collections Agent

BolnaDeepgramGroqHindi/HinglishState Machine
  • Built production-grade outbound voice AI agent for NBFC loan collections — bilingual state machine (Hindi/Hinglish/English) with automatic language detection and mid-call switching
  • 8-branch conversation state machine: happy path, already paid, financial hardship, loan dispute, DND request, angry customer, wrong number, voicemail — RBI Fair Practices Code and TRAI compliant
  • Implemented post-call structured JSON output for CRM integration — call_outcome, promise_date, sentiment, language_used, escalation_reason

Clary | Agentic Clinical Reasoning Engine

Python 3.12FastAPIPydanticGemini API
  • Architected two-stage agentic reasoning pipeline — Stage 1 extracts structured data, Stage 2 performs causal reasoning, with strict Pydantic schema enforcement physically rejecting malformed LLM outputs
  • Engineered model-fallback circuit breakers with dynamic LLM routing — auto-switches on rate limits or failures, ensuring 99.9% pipeline uptime

Leaderboard Standings

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Assessment Highlights

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AI Collaboration Score

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Role Compatibility Profile

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Achievements

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About Details

Professional Bio

AI Engineer with hands-on production experience building real-time voice AI systems, agentic LLM workflows, and low-latency backend pipelines. Shipped 5 production systems independently, including WebRTC voice agents and multi-tenant RAG platforms.

B.Sc. Computer Science & Electronics in Computer Science & Electronics

P. C. Jabin Science College, KLE Society's (2022 - 2025)

Languages: English, Hindi
Email: Locked
Sudarshan Kulkarni - Profile | Swiftcruit