--- title: "Anirvan Krishna - Graduate Engineering Trainee in Patna | Tal" description: "Meet Anirvan Krishna, AI Engineer & Researcher | IIT KGP EE Dual ’26 | Published at MICCAI, MedIA | Prev: OLA Krutrim, Harvard, IITGn | Deep Learning · LLM Systems · Medical Imaging based in Patna. AI stack includes antigravity and opencode. Explore public work links including github." image: "https://tal.club/meet/anirvan-krishna/share-image" --- # Anirvan Krishna on Tal ## Headline AI Engineer & Researcher \| IIT KGP EE Dual ’26 \| Published at MICCAI, MedIA \| Prev: OLA Krutrim, Harvard, IITGn \| Deep Learning · LLM Systems · Medical Imaging ## About ML engineer and researcher graduated with a Dual Degree \(B\.Tech \+ M\.Tech\) in Electrical Engineering at IIT Kharagpur, specializing in Signal Processing and Machine Learning\. I build ML systems end\-to\-end, from research to production\. My work spans: • LLM orchestration at scale \(Ola Krutrim, India's first agentic AI assistant\) • Self\-supervised and label\-efficient vision models for medical imaging \(MICCAI 2025, MedIA 2026\) • Foundation models for hardware design \(Harvard Edge Computing Lab, Prof\. Vijay Janapa Reddi\) • Multimodal learning for industrial fault diagnosis \(M\.Tech thesis, IIT KGP with GAIL\) I've shipped a circuit\-breaker LLM router handling multi\-provider inference at production load, built adversarial and self\-supervised frameworks for ultrasound landmark detection, and contributed to QuArch, the world's first computer architecture QA dataset\. Open to ML engineering and ML research roles\. Contact: anirvankrishna@gmail\.com ## Location Patna ## AI stack antigravity opencode ## Work experience Graduate Engineering Trainee at Ola Electric, Jun 2026 \- Present · 3 mos, Bengaluru, Karnataka, India Teaching Assistant at Indian Institute of Technology, Kharagpur, Jul 2025 \- Apr 2026 · 10 mos, Mentored and evaluated UG and PG students across courses\. • EE69205: Signal Processing System Design; Mentored a batch of 20 PG students, conducted continuous evaluation • EE22202: Algorithms, AI and ML Lab; Mentored 50\+ students on concepts of statistical learning to deep learning AI Engineering Intern at Krutrim, May 2025 \- Jul 2025 · 3 mos, Bengaluru, Karnataka, India, Project: Kruti—India's first agentic AI assistant As an AI intern at Krutrim, Ola’s AI research and product division, I contribute to the backend architecture of Kruti—India’s first agentic AI assistant\. My work focuses on building scalable, intelligent systems for large language model \(LLM\) orchestration, enabling multimodal, multilingual, and agent\-driven AI services in production environments\. • Designed and owned the full system architecture of a circuit\-breaker\-based LLM smart router—a core service powering Kruti, India's first agentic AI assistant\. Wrote HLD and LLD documents that became the engineering spec\. • Built a modular multi\-provider LLM inference pipeline integrating Krutrim V2 and open\-source models; added provider\-specific streaming and Pydantic\-validated structured outputs\. • Implemented Redis\-based distributed concurrency control across containers to eliminate race conditions in high\-throughput routing\. • Ran LLM\-as\-a\-judge evaluations to benchmark quality, latency, and failure rates across providers; results directly informed routing policy\. • Deployed and monitored production services via Docker, GitHub Actions, ArgoCD, Grafana, and New Relic\. Research Assistant at Indian Institute of Technology, Kharagpur, May 2024 \- May 2026 · 2 yrs 1 mo, Master's Thesis: Multimodal Learning for Prognosis and Diagnosis of Bearing Faults Supervisor: Prof\. Aurobinda Routray Researched and developed multimodal deep learning pipelines for automated prognosis and diagnosis of bearing faults—combining vibration signals, structured metadata and expert observation; robust to deployments in unseen conditions Research Intern at Harvard University, May 2024 \- Aug 2024 · 4 mos, Cambridge, Massachusetts, United States, Project: Generative AI for Hardware Design The work is focused on creating and labeling datasets in computer architecture, with an emphasis on data\-centric and ML\-based hardware design\. The ultimate goal is to develop foundational models for hardware design\. Supervisor: Prof\. Vijay Janapa Reddi Work done: • Co\-created QuArch, the world's first computer architecture Q&A dataset, spanning 50\+ years of research literature—a resource for training and evaluating LLMs on hardware design tasks\. • Led evaluation of GPT\-4, GPT\-4o, Llama 3\-8B, and Mistral\-7B on QuArch; achieved 94% F1, establishing the first benchmark baseline for architecture\-domain LLMs\. • Built a YAML\-based evaluation framework for systematic parameter definition and pipeline integration, enabling reproducible LLM assessment at scale\. • Contributed to the roadmap for a generative AI tool capable of autonomous hardware design tasks—including Verilog generation and microprocessor design\. Inventor\- Invention Factory '23 at Indian Institute of Technology Gandhinagar, Jun 2023 \- Jul 2023 · 2 mos, Gandhinagar, Gujarat, India, Invention Factory® India is a six\-week summer program organised by the Maker Bhavan Foundation which originated in the USA in which IIT/NIT/BITS students from across India, working in teams of two, Prototype, Pitch and Patent inventions that each team has conceived of in the program’s first intensive week\. • Innovated an Interconvertible Walking and Seating Aid for older adults who're prone to Neurocardiogenic Syncope • Conducted literature review regarding the heart rate and blood pressure profile during syncope to identify sudden bradycardia and orthostatic hypotension • Designed the actuation mechanism for automatic conversion of the device from walking to seating modes • Designed the algorithm for predicting the neurocardiogenic syncope, 2 minutes prior to its occurence • Recieved an honourable mention from Maker Bhavan Foundation for the device • Filed a Provisional Patent Application in India and the USA for the device \(Provisional Patent Application no\. 202311054748\) ## Education B\.Tech \(Hons\.\): Electrical Engineering, M\.Tech: Signal Processing and Machine Learning, Micro\-Specialization: Artificial Intelligence and Applications, Indian Institute of Technology, Kharagpur All India Secondary School Examination \(AISSE\), D\.A\.V\. Public School BSEB Colony ## Public links - github: https://github\.com/Anirvan\-Krishna [View the original profile](https://tal.club/meet/anirvan-krishna) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/anirvan-krishna#person", "name": "Anirvan Krishna", "url": "https://tal.club/meet/anirvan-krishna", "image": "https://tal.club/meet/anirvan-krishna/profile-photo.jpg", "description": "Meet Anirvan Krishna, AI Engineer & Researcher | IIT KGP EE Dual ’26 | Published at MICCAI, MedIA | Prev: OLA Krutrim, Harvard, IITGn | Deep Learning · LLM Systems · Medical Imaging based in Patna. AI stack includes antigravity and opencode. 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