I build and ship AI agents into production. Based in Bengaluru, Sydney & UAE. 6.5+ years across GenAI, NLP, Computer Vision, and Deep Learning.
Conference talks, community features & showcases.
Presented a research paper on AI Twins on the main stage of India's biggest AI developers summit — digital avatars with real-time, lifelike interactions using LLMs, lip-sync & speech synthesis. Featuring EXL's CEO interacting with his own AI Twin.
Spoke at DevPalooza 4.0 on building AI Twins using NVIDIA Inference Microservices — a packed session with a live showcase and great audience Q&A.
Featured by AIM for "Breaking the Language Barrier" — an LLM-powered chatbot that turns natural language into SQL for retail media campaign planning at dunnhumby.
"Creating Your AI Twin: The Future of Personalized AI with NVIDIA" — official speaker spotlight for DevPalooza 4.0 on AI workloads & GPU computing.
Announced by AIM as a speaker for MLDS 2025 — "Beyond the Mirror: AI Twins for Personalized Interaction Using Large Language Models".
EXL's official feature on the MLDS 2025 session — how AI Twins & LLMs are revolutionizing business interactions and shaping the future of technology.
AWS ML Specialty & AI Practitioner, Azure AI Engineer & Data Scientist Associate, and NVIDIA Certified Associate in Generative AI LLMs.
Talk on enhancing Large Language Models by integrating human preferences and conditional reinforcement learning, presented at Deep Learning DevCon.
Recognized at EXL with the Early Trailblazer Award for driving agentic AI innovation and production impact across global engagements.
Across global markets — insurance, retail, banking, legal & healthcare
Awards, publications, certifications & conference talks across the AI community
I'm a Forward Deployed Senior AI Engineer at EXL, building and shipping AI agents into production. I currently ship productionized agentic claims-processing systems for the insurance industry that autonomously analyze incidents, make decisions, and manage memory across interactions.
With 6.5+ years of experience across Generative AI, NLP, Computer Vision, Deep Learning, and traditional ML, I specialize in turning LLMs and diffusion models into reliable, production-ready applications following standard DevOps practices and CI/CD pipelines. I hold a Master's in AI/ML from BITS Pilani (NLP specialization) and lead a small team of AI engineers and data scientists, owning delivery end-to-end.
Previously at EY, Dunnhumby, and Infosys R&D, I've solved business problems across insurance, banking, retail, healthcare, legal, and hardware. I thrive in high-ambiguity environments where the path forward isn't yet defined.
EXL · Sydney, Australia & Bengaluru, India
Leading forward-deployed AI engineering for enterprise insurance clients. Engineered Agent Toolkit, a reusable agent-building framework adopted across all agentic AI initiatives. Productionized an agentic claims-processing system with Claude Opus that autonomously analyzes incidents, maintains memory, and drives end-to-end claims decisions. Built a PII deidentification tool with iterative feedback loops, a GenAI insurance chatbot (GPT-5, Mistral), and AI Twins digital avatars. Won the Early Trailblazer Award (2024) and Emerging Analyst Award (2025).
BITS Pilani · Online
Master of Technology in Artificial Intelligence and Machine Learning with specialization in Natural Language Processing. Strengthened foundations in deep learning, NLP, and production ML systems.
EY (Ernst & Young) · Noida, India
Built a multimodal LLM compliance solution verifying image, video, audio, and text data in advertisements to ensure guideline adherence for computer hardware clients. Developed a chatbot with a fine-tuned open-source LLM answering queries about India's new legal framework — Bhartiya Nyaya Sanhita.
Dunnhumby · Gurgaon, India
Drove AI initiatives across retail and ecommerce. Built an NL-to-SQL chatbot with fine-tuned LLMs converting natural language to SQL and Python code — won the Hackrush Hackathon (Nov 2023). Developed a RAG-powered AI dashboard and coding-assistant bot using vector databases. Designed a recommendation engine for the UK's largest retailer that increased sales by 315%. Built healthy food recommendation (XGBoost, Fasttext), media campaign evaluation, and customer family segmentation. Received the GMS Star Award (Dec 2022) for healthy product classification.
Infosys · Bangalore, India
Developed synthetic image generation using Pix2Pix C-GAN for privacy-preserving dataset creation on the iEDPS platform. Built a chatbot with RASA for a British telecom's internal stakeholders, an automated cluster analysis and topic modelling dashboard for an American bank, and a real-time meat image classifier (CNN) for an American food processor. Also built automated form/receipt OCR (OpenCV, Tesseract) and image preprocessing pipelines. Received Award for Excellence (Rise Insta Awards, Jun 2021).
SRM Institute of Science and Technology · Chennai
Built foundations in engineering and AI. Published research on 3D printing food in space (Mar 2018). Completed Kaizen Robotics program at IIT Madras (runner-up, Oct 2015), and won the Mathematics Talent Reward Program at ISI Kolkata (Jan 2014). Active in ASME, ISHRAE, and Aaruush (Event Coordinator).
Built an application to create AI Twins — digital avatars that replicate an individual's appearance, voice, and speech using Agentic AI, RAG, and lip-sync. Published in Lattice and presented at MLDS 2025. Won the Early Trailblazer Award at EXL for delivering this project for the EXL CEO within 3 months of joining.
Engineered a reusable agent-building framework adopted across all agentic AI initiatives at EXL. Standardizes how agents are built, configured, and deployed — accelerating time-to-production for new agentic use cases across teams.
Developed and productionized an agentic claims-processing system for insurance that autonomously analyzes incidents, maintains memory across interactions, and drives end-to-end claims decisions. Powered by Claude Opus.
Built a PII deidentification tool leveraging LLMs with iterative feedback loops to mask and replace sensitive data — enabling safe use of real customer data in AI pipelines and model training without exposing personally identifiable information.
Deployed a GenAI chatbot enabling stakeholders to query insurance documents, retrieve policy details, and file claims through natural language. Built with OpenAI GPT-5 and Mistral for enterprise-grade document understanding.
Built a multimodal LLM-based compliance solution to verify image, video, audio, and text data in advertisements — ensuring they follow guidelines and rules for computer hardware clients. Unified cross-modal verification in a single AI pipeline.
Developed a chatbot with a fine-tuned open-source LLM to answer queries about India's new legal framework — the Bhartiya Nyaya Sanhita. Made complex legal knowledge accessible through natural-language Q&A.
Built a chatbot for business users using fine-tuned open-source LLMs to convert natural language to SQL and Python code, providing actionable data insights. Won the Hackrush Hackathon at Dunnhumby (Nov 2023). Published in Lattice and presented at MLDS 2024.
Developed a RAG-powered AI dashboard and a bot to assist data scientists with coding, error debugging, and internal solution queries using vector databases. Sped up internal data-science workflows with grounded, context-aware assistance.
Designed and deployed a recommendation engine for new products for the UK's largest retailer — increased sales by 315%. Combined healthy food recommendation (XGBoost, Fasttext), media campaign evaluation (Random Forest, K-means), and customer family segmentation (XGBoost) for leading Norwegian and UK clients.
Built a vibe shopping app powered by diffusion models, LLMs, MCP Servers, and Clawdbot (Openclaw). Personal side project exploring agentic commerce — letting users shop through natural-language vibes with AI-generated product discovery.
Developed synthetic image generation using Pix2Pix C-GAN for privacy-preserving dataset creation on the iEDPS platform — creating training data to improve model performance without manual labeling. Published at Infosys (Jul 2021).
Lattice · Presented at MLDS 2025
Lattice · Presented at MLDS 2024
Lattice
Infosys · Co-author: Gayathri Nadella
Infosys · Co-author: Gayathri Nadella
Infosys CodeStore · Co-authors: Santosh Saste, Suman Kumar Reddy, Sanmathi Parvatikar
SRM University
Whether you need to deploy AI at scale, build an intelligent product, or solve a complex ML challenge — I'd love to hear about it.
My email address is:
suvojit.hore.1@gmail.com
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