--- title: "Janhvi Kridutta - Artificial Intelligence Engineer in India | Tal" description: "Meet Janhvi Kridutta, AI Engineer — Production GenAI & Agentic Systems | RAG · LLM Orchestration · AI Reliability/Evaluation · Python, FastAPI based in India. AI stack includes claude code, cursor, and notebooklm. Explore public work links including github." image: "https://tal.club/meet/janhvi-kridutta/share-image" --- # Janhvi Kridutta on Tal ## Headline AI Engineer — Production GenAI & Agentic Systems \| RAG · LLM Orchestration · AI Reliability/Evaluation · Python, FastAPI ## About I'm an AI Engineer who builds production GenAI and agentic systems end\-to\-end — architecture, LLM/agent orchestration, RAG, evaluation, backend integration, and deployment\. At International Media Company \(IMC\), I independently designed and shipped Caption\-Generator, an AI content pipeline \(transcription → hallucination detection → vision fallback → multilingual copy generation → compliance validation → human review\) that's now in daily production use by editors, processing 50–100 clips a day on our own infrastructure with automated scheduling\. I'm also building FunnelCore, a configuration\-driven attribution platform for tracking acquisition sources and paid signups\. Before IMC, I spent close to a years at OctoGenie building a multilingual Legal AI platform — architecting an orchestration layer across 8\+ services \(RAG, STT, TTS, translation, court scraping, lawyer verification\), engineering a Legal RAG system across 9\+ Indian languages, and hardening scraping infrastructure across 10\+ state court systems\. I started my career in ML at CyborgIntell, building and deploying credit\-underwriting and decisioning models that cut default rates and improved approval efficiency in a live lending workflow\. What I care about: making probabilistic systems trustworthy in production — deterministic controls, evaluation harnesses, observability, and audit trails, not just prompts\. Currently focused on: Agentic AI · RAG · LLM Orchestration · AI Reliability & Evaluation · AI Automation 📫 jkridutta@gmail\.com \| github\.com/jahnvik16 ## Location India ## AI stack claude code cursor notebooklm Exa Jina AI Stable Diffusion ## Work experience Artificial Intelligence Engineer at IMC, Jun 2026 \- Present · 4 mos, Remote, Architected and independently shipped Caption\-Generator, an end\-to\-end AI content pipeline \(transcription → hallucination/timing detection → GPT\-4o\-mini vision fallback → multilingual copy generation → compliance validation → human review\) for Instagram, TikTok, and X — deployed on the company's own server with an automated scheduler queuing and dispatching clips, in daily production use by editors at 50–100 clips/day\. Engineered failure\-safe pipeline architecture with per\-stage error isolation, asynchronous background job processing, and feedback\-driven regeneration that preserves prior successful output; verified correctness via 148 automated tests plus a manual browser QA pass across the full clip lifecycle\. Designed and built FunnelCore, a configuration\-driven attribution platform \(Next\.js, PostgreSQL, Prisma\) modeling click\-time attribution, immutable tracking\-link versioning, and Telegram/aggregator routing with AES\-256\-GCM credential encryption and full audit logging — delivered V1 through Phase 7 and staged for production traffic onboarding\. AI Engineer at OctoGenie, Feb 2026 \- Jul 2026 · 6 mos, Bengaluru, Building production AI systems across LLM orchestration, Legal RAG, and multilingual voice pipelines\. Focused on reliability, observability, and failure\-resilient architecture for real\-world deployment\. Key work: \- Designed a hybrid LLM \+ deterministic tool routing layer across RAG, scraping, verification and voice workflows \- Built a Legal RAG system with FAISS retrieval and multilingual support for 9\+ Indian languages \- Engineered real\-time court data pipelines with CNR routing, retry/backoff, and proxy integration \- Instrumented pipelines with Langfuse for end\-to\-end observability and structured failure classification Artificial Intelligence Engineer at OctoGenie, Aug 2025 \- Jun 2026 · 11 mos, Architected a production AI orchestration layer unifying 8\+ services \(RAG, STT, TTS, translation, court scraping, lawyer verification\) through deterministic tool\-routing and standardized JSON contracts — establishing integration patterns adopted across the backend team\. Engineered multilingual Legal RAG \(FAISS \+ IBM Granite embeddings, 9\+ Indian languages\) and a Whisper large\-v3 → RAG → Meta MMS\-TTS/Edge\-TTS voice pipeline; resolved CUDA OOM/cuDNN failures via CPU fallback and isolated malformed translation\-layer JSON from model regressions\. Hardened scraping and Bar Council verification infrastructure across 10\+ state court/portal systems \(retry/backoff, idempotent cron guards, unified JSON schema across 8\+ portals\); resolved two production bugs eliminating silent data loss and benchmarked 4 TTS candidates to remove 2 underperformers\. AI Engineer Intern at OctoGenie, Aug 2025 \- Jan 2026 · 6 mos, Bengaluru, Built foundational AI infrastructure including a multilingual voice pipeline and a multi\-state lawyer verification system used to ground LLM responses\. Key work: \- Built STT → RAG → TTS voice pipeline supporting 9\+ Indian languages using Whisper and MMS/Coqui TTS with fallback strategies \- Optimised inference latency using async FastAPI processing and request batching \- Developed a Bar Council verification API scraping and normalising multi\-state lawyer data for hallucination\-resistant LLM grounding Data Analyst at CyborgIntell, Jan 2025 \- Aug 2025 · 8 mos Data analyst intern at CyborgIntell, Jun 2024 \- Dec 2024 · 7 mos ## Education Bachelor of Engineering, Computer Engineering, Savitribai Phule Pune University ## Public links - github: https://github\.com/jahnvik16 [View the original profile](https://tal.club/meet/janhvi-kridutta) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/janhvi-kridutta#person", "name": "Janhvi Kridutta", "url": "https://tal.club/meet/janhvi-kridutta", "image": "https://tal.club/meet/janhvi-kridutta/profile-photo.jpg", "description": "Meet Janhvi Kridutta, AI Engineer — Production GenAI & Agentic Systems | RAG · LLM Orchestration · AI Reliability/Evaluation · Python, FastAPI based in India. 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