About kartik
I am involved in the domain of Artificial Intelligence with over 2 years of professional experience, I have dedicated my career to exploring and innovating in the field of AI. My expertise spans a range of areas, including Face Recognition, Object Detection and Image Segmentation, where I have successfully tackled complex challenges.I've worked in implementing Liveness Checks within Face Detection pipelines, particularly in enhancing KYC processes, ensuring the integrity and security of identity verification.Throughout my career, I have gained valuable experience in deploying Machine Learning APIs, bridging the gap between theoretical advancements and real-world applications. I am driven by the potential of AI to revolutionize industries and improve lives, and I am committed to pushing boundaries and creating impactful solutions.Let's connect and explore opportunities to collaborate and drive innovation in the realm of Artificial Intelligence.Email Id: [email protected] Portfolio: https://linktr.ee/kartik_khandelwal
Key Skills
Experience
Artificial Intelligence Engineer
CurrentSoulverse
Machine Learning Engineer
Digio.in
* Constructed Liveness Detection Pipeline to eliminate fake and unwanted selfie images using * ResNet152 Architecture, trained on 0.1M images. Accuracy increased from 81% to 96%. * Developed ID Card detection model for Aadhar, PAN, VoterID, DL and Cheque using * Yolov5 Object Detection. * Created a Face Detection model, using MTCNN and Deepface. Applied diverse Image Preprocessing Techniques to get Facial Encodings. * Designed a Face Match Pretrained Model from scratch using FaceNet, Siamese Network and Triplet Loss Function. * Build a well established system for ID Card OCR, providing better accuracy than Google Vision API, using Yolov5 and Tesseract-OCR(pytesseract). * Worked on creating APIs for trained ML Models in Python using Flask, for testing models on Postman and deployed on Sandbox.
Machine Learning Engineer
Digio.in
* Constructed Liveness Detection Pipeline to eliminate fake and unwanted selfie images using * ResNet152 Architecture, trained on 0.1M images. Accuracy increased from 81% to 96%. * Developed ID Card detection model for Aadhar, PAN, VoterID, DL and Cheque using * Yolov5 Object Detection. * Created a Face Detection model, using MTCNN and Deepface. Applied diverse Image Preprocessing Techniques to get Facial Encodings. * Designed a Face Match Pretrained Model from scratch using FaceNet, Siamese Network and Triplet Loss Function. * Build a well established system for ID Card OCR, providing better accuracy than Google Vision API, using Yolov5 and Tesseract-OCR(pytesseract). * Worked on creating APIs for trained ML Models in Python using Flask, for deploying on docker containers.
Education
Dayalbagh Educational Institute, Agra
Bachelor Of Technology
Dayalbagh Educational Institute
Bachelor Of Technology
Gayatri Public School Agra
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Common Questions
What is kartik's expertise?
kartik specializes in AI Engineer, with expertise in agentic ai, ai agent, ai agents, algorithms, blockchain.
Where is kartik located?
kartik is based in bangalore, karnataka, india.
How much experience does kartik have?
kartik has 4+ years of professional experience.
How can I contact kartik?
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