--- title: "Khushdeep Singh Mann - Artificial Intelligence Engineer in Bengaluru | Tal" description: "Meet Khushdeep Singh Mann, ML & AI Engineer | Ex-INRIA | Patent Holder based in Bengaluru. AI stack includes antigravity and codex. Explore public work links including github." image: "https://tal.club/meet/khushdeep-singh-mann/share-image" --- # Khushdeep Singh Mann on Tal ## Headline ML & AI Engineer \| Ex\-INRIA \| Patent Holder ## About I build AI systems that work in the real world — at scale, under pressure, and in production\. Over the past 4\+ years, I've worked across the full AI stack: from deploying sensor\-fusion models on live autonomous vehicles at INRIA \(Grenoble\) to architecting Voice AI agents that now autonomously manage a ₹2 Billion customer portfolio at 4x lower cost than human agents — 1,000\+ calls every day\. My work sits at a rare intersection: I'm both a builder and a researcher\. I've publications, hold an Indian patent, and have shipped production systems that replaced real human workflows\. That combination — research rigour applied to real\-world constraints — is what I bring to every problem\. Currently at WeRize, I'm deep in the Voice AI space: building multilingual agents, benchmarking STT/TTS/LLM vendors across the Indian market, and designing Speech Analytics pipelines that deliver structured intelligence from every customer call\. Before that, 3\+ years at INRIA in France working on autonomous vehicle perception — real\-time 3D object detection, event camera sensor fusion, and spatio\-temporal scene forecasting on moving vehicles\. If you're working on hard AI problems — in voice, autonomy, or LLM systems — I'd love to connect\. ## Location Bengaluru ## AI stack antigravity codex ## Work experience Artificial Intelligence Engineer at WeRize, Sep 2025 \- Present · 1 yr, Bengaluru, Karnataka, India, • Architected and deployed multilingual LLM\-powered Voice AI agents, automating 80% of outbound collections calls across a INR 2B\+ portfolio and handling 1,000\+ daily calls, achieving 4× cost reduction vs human agents through modular multi\-agent orchestration\. • Led benchmarking of 8\+ Voice AI platforms, evaluating ASR accuracy \(Indian accents\), latency, and cost, driving production vendor selection for enterprise\-scale deployment\. • Built a scalable AWS\-based speech analytics platform processing thousands of calls/day, integrating ASR, speaker diarization \(95% accuracy\), sentiment analysis, and LLM\-driven QA scoring — eliminating manual QA workflows and improving audit efficiency by 90% Prompt Engineer at TELUS Digital AI Data Solutions, May 2025 \- Jun 2025 · 2 mos, Remote, Crafted 100\+ production\-ready prompts for fine\-tuning domain\-specific LLMs, using standardized formats to encode complex multimodal inputs \(context \+ images\) for real\-world applications\. AI Engineer at Inria, Apr 2021 \- Oct 2024 · 3 yrs 7 mos, Grenoble, Auvergne\-Rhône\-Alpes, France, \[ Writing Technical Project Proposals and Grants \] • Project 1: Developed spatio\-temporal prediction network \(LSTMs\) pipeline for accurately forecasting future occupancy in dynamic urban environments, predicting 3\-sec horizon, and releasing valuable occupancy grid dataset for research advancement\. \(IV’22\) • Project 2: Designed a robust sensor fusion model combining eventbased and frame\-based cameras, to enhance object detection in challenging conditions, surpassing frame\-based and event\-based detections, with over 30% improvement in robustness to image corruptions, validated on the publicly released DSEC dataset\. \(ICRA’22\) • Project 3: Deployed a real\-time 3D object detection and tracking module in ROS, achieving performance at 10FPS for vehicle demonstration purposes\. • Project 4: Leveraged generative models and model\-free deep RL algorithms to excel in complex urban traffic scenarios using Carla simulator, with a focus on applying Variational Auto\-Encoder \(VAE\) for dimensionality reduction\. • Project 5: Designing formal validation methodologies for probabilistic perception and prediction methods, and analyzing real experiments recorded data \- PRISSMA project\. • Project 6: Fine tuning LLMs for Autonomous driving applications Artificial Intelligence Engineer at Inria, Apr 2021 \- Oct 2024 · 3 yrs 7 mos, • Real\-Time 3D Perception \(Vehicle Deployment\): Deployed a TensorRT\-quantized PointPillars model for real\-time 3D object detection and multi\-object tracking on a live moving vehicle at 15–20 km/h, achieving 15\.15 FPS — eliminating critical latency gaps that caused missed object detections at speed\. • Multimodal Sensor Fusion: Developed a novel RGB \+ event camera fusion network \(RetinaNet backbone\) trained on 131K\+ annotated bounding boxes\. Achieved 68\.7% relative performance and 30% robustness gain over RGB\-only baselines across 15 real\-world corruption scenarios\. \(ICRA’22\) paper code, video • Spatio\-Temporal Scene Forecasting: Built an LSTM\-based pipeline forecasting 3\-sec future occupancy grids in dynamic urban environments from nuScenes data\. Achieved 82\.9% F1\-score over 1,200\+ real\-world test sequences, surpassing prior state\-of\-the\-art\. \(IV’22\) paper code, video • Multimodal Data Engineering: Curated and synchronized LiDAR, and RGB camera data streams; analyzed collision edge\-case scenarios to validate the full perception stack\. Student Assistant at Max Planck Institute for Intelligent Systems, Nov 2020 \- Feb 2021 · 4 mos, Tübingen, Baden\-Württemberg, Germany, Working with Prof\. Aamir Ahmad Robot Perception Group \- Perceiving Systems Department Topic: Development of outdoor navigating robot Autonomous Systems at EIT Digital, Aug 2018 \- Feb 2021 · 2 yrs 7 mos ## Education Master's degree, Autonomous Systems, Technische Universität Berlin EIT Digital Summer School, Data Driven Manufacturing for Industry 4\.0, Alma Mater Studiorum – Università di Bologna ## Public links - github: https://github\.com/ksm26 [View the original profile](https://tal.club/meet/khushdeep-singh-mann) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/khushdeep-singh-mann#person", "name": "Khushdeep Singh Mann", "url": "https://tal.club/meet/khushdeep-singh-mann", "image": "https://tal.club/meet/khushdeep-singh-mann/profile-photo.jpg", "description": "Meet Khushdeep Singh Mann, ML & AI Engineer | Ex-INRIA | Patent Holder based in Bengaluru. AI stack includes antigravity and codex. 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