--- title: "Akash Chandra Mishra - Machine Learning Engineer in Bengaluru | Tal" description: "Meet Akash Chandra Mishra, AI Engineer | Agentic RAG & Multi-Agent Systems | LLM Evaluation & Production GenAI | Google Cloud, Vertex AI, Gemini | Ex-Quantiphi based in Bengaluru. AI stack includes antigravity, meta, and n8n." image: "https://tal.club/meet/akash-chandra-1/share-image" --- # Akash Chandra Mishra on Tal ## Headline AI Engineer \| Agentic RAG & Multi\-Agent Systems \| LLM Evaluation & Production GenAI \| Google Cloud, Vertex AI, Gemini \| Ex\-Quantiphi ## About I build AI systems that leave the demo and survive production\. For the past 2 years, I've shipped Generative AI and agentic systems across healthcare, legal, and enterprise domains — primarily on Google Cloud, primarily solving the unglamorous problems that decide whether an LLM system actually works at scale: retrieval quality, agent reliability, and evaluation\. What I've shipped: → A multilingual Agentic RAG pipeline for EU labour law \(hybrid sparse \+ dense retrieval\), hitting 89% response accuracy in a live legal chatbot → A multi\-agent browser automation system \(Google ADK \+ Gemini Computer Use\) that cut manual workflow time by 75%, at 95% task execution accuracy → A document intelligence pipeline processing 16\+ unstructured medical formats — including handwritten lab reports — that took extraction accuracy from 30% to 82\.8%, unblocking a downstream clinical risk pipeline → A nutrition data extraction system \(Gemini 1\.5 Pro \+ RAG \+ XGBoost\) validating 1,750\+ menu items against a 400K\-item database at 93\.4% accuracy Beyond the build, I've been the technical point of contact for 10\+ enterprise accounts across the US, EU, and South Africa during Gemini Enterprise onboarding — translating fuzzy business requirements into working systems, and explaining agentic architectures to stakeholders who don't care how the retrieval works, only that it does\. I've also mentored 6 engineers on technical ramp\-up and client communication\. My edge: I sit at the intersection of technical depth and stakeholder fluency\. I can debug a retrieval pipeline at 11pm and walk a VP through why it matters at 9am\. Currently exploring AI Engineer / Applied AI Engineer roles where I can go deep on agentic systems, LLM evaluation, and production reliability — ideally at a team building AI\-native products, not bolting AI onto existing ones\. Google Professional Machine Learning Engineer \| Google Associate Cloud Engineer Open to connecting with people working on agents, RAG, and applied AI in production\. ## Location Bengaluru ## AI stack antigravity meta n8n railway ## Work experience Machine Learning Engineer at Quantiphi, Aug 2024 \- Jun 2026 · 1 yr 11 mos, On\-site, Multilingual Agentic RAG Pipeline \(Legal\) Built a hybrid search RAG system \(sparse \+ dense embeddings\) powering a multilingual legal chatbot for EU labour law\. Achieved 89% response accuracy in production\. Multi\-Agent Browser Automation Designed a multi\-agent system using Google ADK and Gemini Computer Use to automate multi\-step enterprise workflows end\-to\-end\. Improved operational efficiency by 75% with 95% task execution accuracy\. Medical Document Intelligence Pipeline Built a GenAI pipeline with Gemini 1\.5 Pro to process 16\+ unstructured medical document formats, including handwritten lab reports\. Boosted extraction accuracy from 30% to 82\.8%, enabling reliable downstream clinical risk stratification\. Machine Learning Intern at Quantiphi, Feb 2024 \- Aug 2024 · 7 mos, Hybrid, AI\-Driven Nutritional Analysis System Combined Gemini 1\.5 Pro, RAG, and XGBoost to extract and validate nutritional data from 1,750\+ menu items against a 400K\-item food database\. Reached 93\.4% accuracy, replacing weeks of manual effort with an automated pipeline\. Student Member at Computer Society Of India CUSB, Sep 2022 \- Feb 2024 · 1 yr 6 mos, Chandigarh, India Team Lead at Events CSE III Yr Chandigarh University, Oct 2022 \- May 2023 · 8 mos, Chandigarh, India ## Education Bachelor of Engineering \- BE, Computer Science, CHANDIGARH UNIVERSITY [View the original profile](https://tal.club/meet/akash-chandra-1) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/akash-chandra-1#person", "name": "Akash Chandra Mishra", "url": "https://tal.club/meet/akash-chandra-1", "image": "https://tal.club/meet/akash-chandra-1/profile-photo.jpg", "description": "Meet Akash Chandra Mishra, AI Engineer | Agentic RAG & Multi-Agent Systems | LLM Evaluation & Production GenAI | Google Cloud, Vertex AI, Gemini | Ex-Quantiphi based in Bengaluru. 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