Dr. Avinash Kumar Singh Email & Phone Number

Hyderabad, In

Hyderabad, Telangana, India

The AES Group is a premier technology consulting company that has been bringing businesses andtalent together, for over 20 years, to deliver the most innovative technology solutions thatcreate the most positive impact to society. With a global talent reach of over 5,000 projectmanagers, architects and engineers, The AES Group has helped over 40 business enterprises, of all sizes,including Fortune 500 companies engage their customers, empower their employees, andtransform their business operations with the power of cloud, data, AI and other emergingtechnologies.

Hyderabad, Telangana, India

🍁As an 𝐀𝐈 𝐦𝐞𝐧𝐭𝐨𝐫 𝐚𝐧𝐝 𝐜𝐨𝐚𝐜𝐡, I provide guidance and expertise in 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 to professionals, students, and organizations.🍁I help individuals enhance their 𝐀𝐈 𝐬𝐤𝐢𝐥𝐥𝐬, develop 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, and navigate the complexities of 𝐀𝐈 𝐩𝐫𝐨𝐣𝐞𝐜𝐭s. 🍁Through 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐦𝐞𝐧𝐭𝐨𝐫𝐢𝐧𝐠, I focus on fostering 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠, 𝐩𝐫𝐨𝐛𝐥𝐞𝐦-𝐬𝐨𝐥𝐯𝐢𝐧𝐠, and hands-on experience, enabling them to achieve their career goals and drive innovation in their respective fields.

Hyderabad, Telangana, India

🌻Delivered 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐭𝐨 𝐨𝐯𝐞𝐫 𝟓𝟎+ 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬 from diverse industrial backgrounds, equipping them with practical skills in emerging AI technologies.🌻Conducted in-depth, 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐬𝐞𝐬𝐬𝐢𝐨𝐧𝐬 𝐨𝐧 𝐂𝐚𝐬𝐬𝐚𝐧𝐝𝐫𝐚 (a NoSQL database), focusing on optimizing data retrieval speed, ensuring high availability, and managing diverse data formats including structured, semi-structured, and unstructured data.🌻Pursuing an 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝟖-𝐰𝐞𝐞𝐤 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐜𝐨𝐮𝐫𝐬e to master the deployment of Gen AI tools in industries such as retail, manufacturing, logistics, energy, media, and entertainment, driving innovation and operational excellence.

Hyderabad, Telangana, India

🌟𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 𝐄𝐯𝐞𝐧𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐅𝐚𝐜𝐞 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧: Designed and developed a face recognition system to streamline event registration, allowing identification from a single selfie. The system successfully managed a crowd of over 1,000 attendees in real-time, efficiently directing them to different booths at a seminar, reducing registration time by 80% and enhancing crowd management.🌟𝐑𝐞𝐝𝐮𝐜𝐞𝐝 𝐂𝐨𝐬𝐭𝐬 𝐛𝐲 𝟗𝟎% 𝐰𝐢𝐭𝐡 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐎𝐟𝐟𝐢𝐜𝐞 𝐀𝐭𝐭𝐞𝐧𝐝𝐚𝐧𝐜𝐞 𝐒𝐲𝐬𝐭𝐞𝐦: Extended the face recognition system for office attendance monitoring, replacing the existing RFID-based access control system. Integrated with magnetic gates to restrict unauthorized access, this solution eliminated the need for costly annual maintenance contracts, resulting in a 90% reduction in operational costs.🌟𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐌𝐋 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐌𝐋𝐎𝐩𝐬 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: Implemented MLOps pipelines across multiple ML products, establishing best practices in data engineering, model and data management, and CI/CD pipelines for code versioning. This improved model deployment speed by 70% and enhanced system reliability and scalability, leading to faster and more consistent delivery of machine learning solutions.🌟𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝟗𝟕% 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲: Developed a 𝐟𝐫𝐮𝐢𝐭 𝐜𝐨𝐮𝐧𝐭𝐢𝐧𝐠 algorithm to automatically count the number of fruits on a tree and 𝐟𝐥𝐨𝐰𝐞𝐫𝐬 on a plant, improving agricultural monitoring accuracy by 97% and reducing manual labor costs by 40%.

Hyderabad, Telangana, India

Led a team of 𝟐𝟓+ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐚𝐧𝐝 𝐍𝐋𝐏 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 to solve complex AI challenges, delivering significant milestones in performance, cost savings, and innovation:🌟𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐂𝐮𝐫𝐫𝐞𝐧𝐜𝐲 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐛𝐲 𝟗𝟔%: Created an image recognition model to identify various old and new denominations of Indian currency. Optimized the model by quantizing it to floating-point precision and converting it to TFLite, enabling seamless deployment on Android devices and 𝘳𝘦𝘥𝘶𝘤𝘪𝘯𝘨 𝘮𝘰𝘥𝘦𝘭 𝘴𝘪𝘻𝘦 60%, leading to faster inference times.🌟𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐎𝐛𝐣𝐞𝐜𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐈𝐧𝐝𝐢𝐚𝐧 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 𝐛𝐲 𝟖𝟓%: Trained and deployed a custom object detection model capable of recognizing 617 diverse Indian objects, including 37 different 𝐟𝐫𝐮𝐢𝐭𝐬, 45 𝐯𝐞𝐠𝐞𝐭𝐚𝐛𝐥𝐞𝐬, 72 𝐤𝐢𝐭𝐜𝐡𝐞𝐧 𝐢𝐭𝐞𝐦𝐬, and 39 𝐬𝐩𝐨𝐫𝐭𝐬 𝐢𝐭𝐞𝐦𝐬. This enhanced the model’s accuracy by 85% for Indian-specific datasets, providing robust detection for real-world applications.🌟𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐝 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐈𝐦𝐚𝐠𝐞 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝟖𝟗.𝟔𝟕% 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲: Created an advanced image understanding model recognizing 𝟏𝟎,𝟎𝟎𝟎 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐜𝐥𝐚𝐬𝐬𝐞𝐬, such as 1,554 𝐟𝐨𝐨𝐝 𝐢𝐭𝐞𝐦𝐬, 415 𝐯𝐚𝐫𝐢𝐞𝐭𝐢𝐞𝐬 𝐨𝐟 𝐝𝐫𝐢𝐧𝐤𝐬, 808 𝐝𝐨𝐦𝐞𝐬𝐭𝐢𝐜 and 𝐰𝐢𝐥𝐝 𝐚𝐧𝐢𝐦𝐚𝐥𝐬, 511 𝐩𝐥𝐚𝐧𝐭 𝐬𝐩𝐞𝐜𝐢𝐞𝐬, and 577 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐭𝐲𝐩𝐞𝐬 𝐨𝐟 𝐯𝐞𝐡𝐢𝐜𝐥𝐞𝐬. This broad classification capability enhanced data processing speed by 40%.🌟𝐑𝐞𝐝𝐮𝐜𝐞𝐝 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐂𝐨𝐦𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧 𝐓𝐢𝐦𝐞 𝐛𝐲 𝟕𝟎%: Developed a 𝐬𝐦𝐚𝐫𝐭 𝐜𝐨𝐦𝐩𝐨𝐬𝐞 feature that predicts the next word in a sentence based on prior context, significantly improving writing efficiency for users and reducing typing time by 70%.

Montpellier, Occitanie, France

Worked as 𝐢𝐧-𝐜𝐡𝐚𝐫𝐠𝐞 𝐨𝐟 𝐖𝐨𝐫𝐤 𝐏𝐚𝐜𝐤𝐚𝐠𝐞 𝟓 𝐨𝐧 𝐭𝐡𝐞 𝐄𝐔 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐒𝐎𝐏𝐇𝐈𝐀 𝐮𝐧𝐝𝐞𝐫 𝐇𝟐𝟎𝟐𝟎, collaborated with multiple project partners to achieve significant advancements in human-robot interaction and action recognition through AI and deep learning:✨𝐂𝐨𝐨𝐫𝐝𝐢𝐧𝐚𝐭𝐞𝐝 𝐌𝐮𝐥𝐭𝐢-𝐏𝐚𝐫𝐭𝐧𝐞𝐫 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐃𝐚𝐭𝐚 𝐀𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧: Successfully managed coordination between the Italian Institute of Technology, INAIL (Italy), and LIRMM (France) for data acquisition and human-robot interaction. This improved data collection efficiency by 40%, ensuring high-quality datasets for model training.✨𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐝 𝐀𝐜𝐭𝐢𝐨𝐧 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐨𝐟 𝟗𝟗%: Designed and developed a sensor-agnostic, Bidirectional LSTM-based deep neural network for action recognition. The model was tested with multiple data inputs, including Xsens suits (motion capture), Intel RealSense, and Microsoft Kinect RGB-D data (3D skeleton), achieving a 99% recognition accuracy. The research was published at the 𝟐𝟏𝐬𝐭 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐨𝐧 𝐇𝐮𝐦𝐚𝐧𝐨𝐢𝐝 𝐑𝐨𝐛𝐨𝐭𝐬.✨𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐇𝐮𝐦𝐚𝐧-𝐑𝐨𝐛𝐨𝐭 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Integrated the action recognition model with a KUKA robot to assist humans in physical tasks, such as carrying, releasing, and placing objects in industrial settings. This innovation improved operational efficiency by 35% by accurately understanding human actions in real-time and automating collaborative tasks.

Sweden

Laid down the foundation and road map of Advance AI solutions for 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠.🌻𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐝 𝐈𝐧𝐯𝐨𝐢𝐜𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐨𝐟 𝟗𝟎%: Designed and developed a 𝐠𝐫𝐚𝐩𝐡-𝐛𝐚𝐬𝐞𝐝 𝐂𝐨𝐧𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐚𝐥 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 (GCN) to accurately read line items from tables in scanned documents. This system efficiently handled various types of invoices (unstructured documents) and extracted critical information, reducing manual processing time by 60%.🌻𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐊𝐘𝐂 𝐕𝐞𝐫𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝟗𝟓% 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲: Implemented a KYC verification system that automatically identifies the type of KYC document (e.g., PAN, AADHAAR, Driving License, Voter ID card) and extracts key information fields such as Full Name, Father's Name, Gender, Date of Birth, and Address. This automation 𝐫𝐞𝐝𝐮𝐜𝐞𝐝 𝐭𝐡𝐞 𝐯𝐞𝐫𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐭𝐢𝐦𝐞 𝐛𝐲 𝟕𝟓%.🌻𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐂𝐡𝐞𝐪𝐮𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝟖𝟓% 𝐂𝐨𝐬𝐭 𝐒𝐚𝐯𝐢𝐧𝐠𝐬: Developed an AI-powered cheque processing solution using 𝐘𝐎𝐋𝐎 for detecting and localizing cheque signatures and a 𝐒𝐢𝐚𝐦𝐞𝐬𝐞 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 for signature verification. Retrained Tesseract OCR for recognizing cheque numbers and a visual understanding system for extracting key details like name, amount, date, cheque number, and signature, leading to an 𝟖𝟓% 𝐫𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧 in manual effort and processing costs.🌻𝐑𝐞𝐝𝐮𝐜𝐞𝐝 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐂𝐨𝐬𝐭𝐬 𝐛𝐲 𝟑𝟎% 𝐔𝐬𝐢𝐧𝐠 𝐀𝐈 𝐟𝐨𝐫 𝐂𝐫𝐲𝐩𝐭𝐨 𝐏𝐚𝐲𝐦𝐞𝐧𝐭𝐬: Designed a mathematical optimization model to predict the most cost-effective combination of cryptocurrencies for payments. The model minimized the cost of purchasing compute and storage from various cloud vendors over a specified period, significantly 𝐫𝐞𝐝𝐮𝐜𝐢𝐧𝐠 𝐜𝐨𝐬𝐭𝐬 𝐛𝐲 𝟑𝟎% and improving the management of cryptocurrencies.

Umea, Sweden

Worked as a team in 𝐀𝐝𝐯𝐚𝐧𝐜𝐞 𝐀𝐈 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 focused on intelligent robotics 🤖, achieving significant breakthroughs and successfully delivering impactful solutions:🏆𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐝 𝐚 𝐍𝐨𝐯𝐞𝐥 𝐕𝐢𝐬𝐮𝐚𝐥 𝐆𝐫𝐨𝐮𝐧𝐝𝐢𝐧𝐠 𝐌𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐦: Innovated a unique visual grounding mechanism that combines deep learning features with fuzzy systems to represent the "state of mind" of a robot. Enhanced this approach by integrating natural language processing (NLP) to correlate language with the robot's state of mind, enabling accurate object identification based on these correlations. This breakthrough demonstrates expertise in combining AI subfields like deep learning, NLP, and fuzzy logic to enhance robotic perception and cognition.🏆𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐂𝐨𝐧𝐟𝐥𝐢𝐜𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐑𝐞𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐢𝐧 𝐇𝐮𝐦𝐚𝐧-𝐑𝐨𝐛𝐨𝐭 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧: Designed and implemented a novel conflict detection and resolution mechanism, enabling robots to request human assistance when discrepancies arise between their "state of mind" and natural language inputs. This innovation improved human-robot collaboration and was presented at the European Conference on Artificial Intelligence (ECAI 2020).🏆𝐏𝐢𝐨𝐧𝐞𝐞𝐫𝐞𝐝 𝐑𝐨𝐛𝐨𝐭-𝐑𝐨𝐛𝐨𝐭 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤: Developed a cutting-edge robot-robot collaboration framework that uses verbal explanations of actions and intentions to improve human understanding of robot behavior. This research was published in the "Journal of Behavioral Robotics" .🏆𝐏𝐫𝐨𝐦𝐨𝐭𝐞𝐝 𝐀𝐈 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐕𝐚𝐫𝐢𝐨𝐮𝐬 𝐃𝐨𝐦𝐚𝐢𝐧𝐬: Delivered talks at multiple university departments, discussing the application of computer vision and AI across diverse fields such as robotics, medicine, and art.

Noida Area, India

🍁𝐄𝐱𝐩𝐚𝐧𝐝𝐞𝐝 𝐓𝐞𝐚𝐦 𝐚𝐧𝐝 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐏𝐎𝐂𝐬: Joined the HCL machine learning division (Noida) as a founding member of a 3-person team. Within one year, led the team to grow to 16 members and successfully delivered 4 proof-of-concepts (POCs).🍁𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐅𝐨𝐫𝐦 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲: Applied computer vision techniques to detect checkboxes in bank forms, enhancing form processing accuracy by 30%. Implemented Intelligent Character Recognition (ICR) to read letters in square boxes, reducing manual data entry errors by 70% and saving operational costs.🍁𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐂𝐨𝐧𝐭𝐫𝐚𝐜𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Developed an OCR and natural language processing (NLP) pipeline to extract key terms and conditions from scanned two-party contracts, reducing document review time by 50% and improving the accuracy of contract analysis.🍁𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐏𝐫𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧 𝐑𝐞𝐚𝐝𝐢𝐧𝐠 𝐀𝐜𝐜𝐮𝐫𝐚𝐜𝐲: Utilized computer vision with active learning to read and interpret medical prescriptions, improving processing speed by 40% and reducing errors.

Mumbai Area, India

At eClerx services limited, I worked as a full stack developer for machine learning based solution. As a developer, I deployed two solutions such as email classification where I used Bayes, ANN, SVM, KNN, etc. to train the system, on the other hand in the email information extraction, I used natural language processing specially named entity recognition to extract information from the mail communication.

Allahabad, Uttar Pradesh

🌷𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐝 𝐚 𝐌𝐢𝐧𝐢𝐦𝐚𝐥𝐢𝐬𝐭𝐢𝐜 𝐅𝐚𝐜𝐞 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤: Led the research and development of a face recognition framework using a minimal set of facial features (eyes, nose, and mouth). This approach reduced computational costs while increasing recognition accuracy and robustness in challenging conditions.🌷𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐅𝐚𝐜𝐞 𝐒𝐩𝐨𝐨𝐟𝐢𝐧𝐠 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧: Designed a face spoofing detection system using a challenge-response method combined with 3D face analysis to ensure liveness detection, enhancing security in biometric systems.🌷𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐂𝐫𝐢𝐦𝐢𝐧𝐚𝐥 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬: Utilized rough set theory and fuzzy inference systems to recognize individuals based on physiological and behavioral cues, contributing to advanced methods for criminal identification and law enforcement applications.🌷𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐏𝐨𝐫𝐭𝐫𝐚𝐢𝐭 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐔𝐬𝐢𝐧𝐠 𝐑𝐨𝐛𝐨𝐭𝐢𝐜𝐬: Pioneered a method for creating symbolic portraits of individuals using AI-driven feature extraction and deployed it on the Nao robot and a 3-link manipulator, blending computer vision with robotic art creation.🌷𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝟏𝟒 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐚𝐩𝐞𝐫𝐬: Published 14 research papers in prestigious international conferences and journals, showcasing significant contributions to AI and human-robot interaction research.🌷Conducted the Summer School of Robotics and served as the Chair of the IEEE Robotics Chapter. Mentored graduate and postgraduate students, delivered courses on Soft Computing, Robotics, and Industrial Automation across both the Allahabad and Amethi campuses.

Doctor Of Philosophy (Ph.D.), Information Technology, Ist

Activities and Societies: IEEE student branch chair at IIIT Allahabad

Workshop On Machine Learning , July 1 To 3, 2013, Machine Learning

Daad Supported International Workshop On Advances In Pde Modeling And Computation (Apdemc 2013), Advances In Pde Modeling And Computation

Faculty Development Programme On Image Processing, Computer Vision And Pattern Recognition, Conducte, Image Processing, Computer Vision And Pattern Recognition

National Workshop Cum Training Program On Computing Techniques And Applications (Nwctp-Cta) During J, Computing Techniques And Applications

Microsoft Summer School 10 Days Workshop 28Th May To 8 June 2012, Distributed Algorithms, Systems, And Programming

3 Month Certification Course On Soft Computing And Machine Learning, Soft Computing And Machine Learning

Master Of Technology (M.Tech.), Information Security, Ist

Activities and Societies: Second Position in the M.Tech Information Security at the university level

Master Of Science (Msc), Information Technology, Ist

Activities and Societies: Ist Position in MSc at University Level

Bachelor Of Science (Bsc), Math, Chemiostry, Information Technology, Ist

10Th, Math, Science, English