Amandeep Singh Uppal

• Leading a team of data scientists and engineers to design, evaluate, and deploy cutting-edge Generative AI solutions for Google's Contact Center AI platform. Delivering transformative functionalities, including Article Suggestion, Call Summarization, Live Transcription, Infobots, Generative Knowledge Assist, Smart Compose, Agent Coaching, Quality Assurance, and Generative Smart Reply, to empower leading telecom companies with $XXXM revenue.
• Driving strategic innovation and operational excellence to enhance customer engagement and streamline support services.

Age Invariant Face Recognition System

• Developed in house state of the art age invariant facial recognition system which is currently deployed and playing key role in HDFC Life ecosystem at various stages of insurance lifecycle.
• Applications publicly available to test HDFC Life's facial recognition capability are:
  Life Certificate (Liveliness proof for pensioners):
  https://lifecertificate.hdfclife.com/

Heart Beat and BMI Monitor

• Developed in house computer vision based heart beat and BMI monitor, to check health profile of customers.
• The monitor is integrated with Life99, by HDFC Pension; where customers can check their BMI and Heart Beat in real time.

Age Progression System

• Developed in house age progression system using cyclic GAN which shows how a customer will look in future, given input image.
• The system is integrated with Life99, by HDFC Pension; where customers can see how they will look in future by uploading their selfie.

Chatbot

• Developed in house NLP based Chatbot for addressing customer queries.
• The Chatbot is integrated with WhatsApp, Twitter, Facebook, and Google Assistant.

Email Sentiment Analyzer

• Developed in house NLP based email sentiment analyzer which can read through the emails sent by customers and rate their sentiment. Negative sentiment emails can be allotted more resources, and hence more customer satisfaction.

Hyperspectral Imaging Classification System

• It is a portable end-to-end product for food grains and organic materials classification and quality inspection using NIR (Near-Infrared Images) images and consists of data acquisition, training and inference pipelines.
• Owned research and development of data acquisition, training and inference pipelines.

Advanced Driver Assistance System (ADAS)

• Developed an eye blink rate detection system which can detect driver's eye blink rate and based on it can predict whether driver is feeling active or drowsy.
• Was key member in integration of drowsiness solution with Sasken's ADAS capability.

Computer vision based Fire Detection System

• Developed robust and accurate computer vision based fire detection system which can accurately detect fire from still images in real time with 95% accuracy. The system is integrated with Sasken's Vision Solution.
  

CGPA: 8.75

Percentage: 72.37%