Hire the Best RTL Specialists in Bengaluru, IN

10 years of FPGA/VHDL experience delivering mission-critical systems for defense, aerospace, and telecommunications. I've shipped radar systems for ISRO, data center switches competing with Cisco Nexus, and tactical military communications. What I bring to your project: • Fast, AI-accelerated development — I use ChatGPT, Claude, and OpenAI o1 to generate clean VHDL/Verilog code in days, not weeks. Recently delivered 3000+ lines across 8 modules in one week. • Defense & aerospace proven — AESA radar, tactical switches for Indian Army, space-grade RS FEC systems. I know how to meet strict requirements and tight deadlines. • Full-stack FPGA — RTL design, testbench creation, timing closure, IP integration, system-level architecture. Xilinx (Vivado, RFSoC, Ultrascale+), Microsemi, Altera. • Remote-first — I've managed distributed teams and delivered complex projects entirely remotely. Clear communication, documented work, on-time delivery. Patent holder. M.Tech in VLSI. Based in Bangalore, working with clients worldwide. If you need FPGA work done right the first time, let's talk. **Characters: 999**10 years of FPGA/VHDL experience delivering mission-critical systems for defense, aerospace, and telecommunications. I've shipped radar systems for ISRO, data center switches competing with Cisco Nexus, and tactical military communications. What I bring to your project: • Fast, AI-accelerated development — I use ChatGPT, Claude, and OpenAI o1 to generate clean VHDL/Verilog code in days, not weeks. Recently delivered 3000+ lines across 8 modules in one week. • Defense & aerospace proven — AESA radar, tactical switches for Indian Army, space-grade RS FEC systems. I know how to meet strict requirements and tight deadlines. • Full-stack FPGA — RTL design, testbench creation, timing closure, IP integration, system-level architecture. Xilinx (Vivado, RFSoC, Ultrascale+), Microsemi, Altera. • Remote-first — I've managed distributed teams and delivered complex projects entirely remotely. Clear communication, documented work, on-time delivery. Patent holder. M.Tech in VLSI. Based in Bangalore, working with clients worldwide. If you need FPGA work done right the first time, let's talk.

Hi! I’m Vignesh Kannan, a Computer Vision & AI researcher with 3+ years of industry experience and a strong publication record in NeurIPS, IEEE Access, and WACV. I specialize in AI-powered computer vision, vision-language models, self-supervised learning, and real-time scalable systems. Experience: Computer Vision Researcher @ Mercedes-Benz R&D India M.Tech (Research) in Computer Vision & AI | Indian Institute of Science, Bangalore Published at NeurIPS, IEEE Access, WACV | Patent Co-Inventor What I Offer: ✔️ Deep Learning & AI Development – CNNs, Vision Transformers, Contrastive & Self-Supervised Learning ✔️ Computer Vision Solutions – Gaze Estimation, Image Quality, Low-Light Enhancement, Object Detection ✔️ Research & Algorithm Development – Novel Architectures, Training Pipelines, Error Analysis ✔️ End-to-End AI Deployment – Problem Formulation to Production, Data Annotation, Business Metrics ✔️ Technical Writing & Research – Conference Papers, Patents, Evaluation Frameworks Key Achievements: 📌 Developed a robust gaze estimation model (4.5° MAE) for a Driver Distraction Warning System, from data strategy to deployment. 📌 Pioneered generalizable gaze estimation using CLIP and prompt tuning to reduce bias from appearance and illumination. 📌 Published EG-SIF at NeurIPS 2023 Workshop – introducing self-improving feature learning for gaze estimation. 📌 Co-invented a patent on gaze estimation using self-improving features. 📌 Explored Latent Diffusion and ControlNet for efficient, controlled gaze data generation. 📌 Published unsupervised IQA methods for low-light images (IEEE Access) and authentically distorted images (WACV), improving quality metrics by up to 20%. 🚀 Open to collaborations on cutting-edge AI/ML research, product-ready computer vision systems, and experimental learning-driven models. 📩 Let’s connect and build something impactful!

I build production-ready Computer Vision and AI video analytics systems that work in the real world — not just demo models. I specialize in Python, OpenCV, YOLO, face recognition, FastAPI, OpenVINO, NVIDIA Jetson, GPU servers, and edge AI deployment. I help businesses convert existing CCTV/IP cameras into intelligent AI systems for security, access control, automation, monitoring, and operational intelligence. My core expertise includes: • AI CCTV monitoring and real-time video analytics • Face recognition and face-based access control • Smart visitor monitoring and unknown visitor detection • Employee attendance and workforce activity monitoring • YOLO-based object detection and custom model integration • OpenCV-based image and video processing pipelines • OpenVINO optimization for running AI on normal office PCs and Intel hardware • NVIDIA Jetson and GPU-based edge AI deployment • Restricted area alerts, blacklist person alerts, and security automation • Jewellery theft detection, hand-to-mouth detection, and suspicious activity alerts • People counting, zone monitoring, camera tampering detection, and incident tracking • Real-time dashboards, reports, APIs, webhooks, WhatsApp/email/voice alerts • Complete backend development using FastAPI, Django, PostgreSQL, MySQL, Redis, Docker, and AWS I have built practical Computer Vision systems for offices, factories, gyms, coaching classes, hotels, jewellery shops, schools, and security-focused businesses. These systems include smart visitor management, face-based door unlocking, attendance automation, AI CCTV monitoring, jewellery theft detection, workforce monitoring, queue automation, hotel smart reception, and multi-camera surveillance intelligence. My strength is building complete solutions end-to-end: Camera/NVR integration → AI detection pipeline → backend APIs → database → dashboard → alerts → deployment → testing → real-world optimization. I can deploy AI systems on NVIDIA Jetson devices, dedicated GPU servers, cloud infrastructure, or optimized local machines using OpenVINO when clients want lower hardware cost and faster on-site deployment. What makes me different is that I understand both the AI model and the business problem. I do not only train models or write scripts. I design the full architecture, optimize performance, handle real camera conditions, reduce false alerts, build clean APIs, and deliver a system that is stable enough for real users. Clients work with me when they need a Computer Vision engineer who can take ownership, think practically, communicate clearly, and deliver high-quality production systems. If you need AI video analytics, face recognition, smart CCTV monitoring, OpenVINO optimization, YOLO detection, edge AI deployment, or a complete Computer Vision product, I can help you design, build, and deploy it properly.