Ajai Chemmanam

Researcher in AI and ML

August 2020 – Present // Kochi, India

›Trained a variety of AI based Machine Learning models for various computer vision business usecases with frameworks like Tensorflow, Pytorch, Pytorch lightning, Openvino, Onnx.
›Developed models with novel architectures and highly optimised for various edge devices like Nvidia GPUS, Jetson Devices, Corel Board, Raspberry Pi etc.
›Created production ready and scalable AI products, which are currently being deployed at more than 1500 sites of banking, retail and logistic clients.
›Rapid prototyping and development of Proof of Concept AI solutions with streamlit/dash/react webapps.

October 2020 – Present // Kochi, India

›Contributions in real time image and video analytics domain.
›Developed novel methods for automated no reference image quality estimation for video processing pipelines.
›Explored multi tasking architectures to perform object detection, keypoint estimation and instance segmentation using a single model.
›Improved multi object tracking algorithms with Locality Sensitive Hashing (LSH)

May 2019 – September 2020 // Kochi, India

›Contributions in real time image domain.
›Mentored development of face tracking robots
›Mentored development of models for detecting safety helmets and vest in construction domain.
›Mentored development of models for super resolution of images.

May 2019 – July 2019 // Kanpur, India

›Trained AI models for monitoring plant growth and disease identification on leaves.
›Developed an automated hydroponics system using various IoT sensors and actuators.
›Developed webapps for visualising the results using ReactJS.
›Studied about threats to neural network models and potential methods to mitigate them like adversarial training etc.

May 2017 – May 2019 // Bangalore, India

›Hands on experience with cutting edge technologies like AI, ML, AR-VR, IoT etc.
›Developed and deployed NLP based chatbots using Microsoft LUIS, Microsft QNA Maker, Google Dialogflow etc.
›Developed IoT device simulators for remote monitoring, control and automation. Integrated the solution with Microsoft IoT Hub, Mosquito MQTT Broker etc.
›Developed webapps for monitoring and controlling IoT devices, fleet management etc. using ReactJS.
›Developed Face Recognition, Attrubutes and Emotion based solutions for better customer engagement, targeted advertisement etc.

›Presented research findings in 4 International Conferences
›Published detailed research analysis and findings in 3 prestigious science journals

›Winner of Make-A-Ton 2.0 Hackathon conducted by CITTIC, CUSAT. Developed AR Navigation solution by identifying buildings and landmarks with AI.
›First Runners Up in Embedded Systems Challenge conducted by C3I Center, IIT Kanpur as part of Cyber Security Awareness Week (CSAW) 2019