Data Science Leader | IIIT-Hyderabad | Paytm, Mastercard, Qualcomm | Ex - Mentor @ deeplearning.ai
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Experienced Data Scientist with strong math background and a demonstrated history of working in the Fintech, consumer electronics and Telecom industry. Skilled in Deep Learning, Pytorch, CV, NLP, Python, Keras, TF and Data Structures. Strong engineering professional with a B.Tech from IIIT-Hyderabad.
International Institute of Information Technology Hyderabad (IIITH)
B.Tech, Electronics and Communication
January 1, 2009 – January 1, 2013
St Paul School
Physics, Chemistry and Maths
January 1, 1999 – January 1, 2009
Paytm
AVP, Data Science
June 1, 2026 – Present
Gurugram
Paytm
Senior Director, Data Science
May 1, 2025 – June 1, 2026
Gurugram
Paytm
Director Data Science
February 1, 2024 – May 1, 2025
Gurugram
Credgenics
Head of Data Science
January 1, 2022 – January 1, 2024
deeplearning.ai
Mentor
June 1, 2020 – March 1, 2023
Mastercard AI Garage
Lead Data Scientist, Product Development and Innovation
March 1, 2020 – January 1, 2022
Ericsson Research
Data Scientist II
November 1, 2018 – March 1, 2020
interface
Lead ML-NLP Engineer
July 1, 2017 – November 1, 2018
Emotix
Machine Learning Engineer/AI Lead
January 1, 2016 – June 1, 2017
Mumbai Area, India
Qualcomm
Engineer
June 1, 2013 – January 1, 2016
Bengaluru Area, India
Siemens Corporate Research and Technology
Intern
May 1, 2012 – July 1, 2012
Bangalore
IIIT-Hyderabad
Research Associate
January 1, 2012 – July 1, 2012
ISRO
Summer Intern
May 1, 2011 – June 1, 2011
UVM based test bench for Memory Sub-System core level verification
July 1, 2015 – Present
Memory sub-system consists of RAM, ROM. Cache controller and SPI controller to access external flash memory. This memory sub-system was new IP as part of the IoT chipset. The verification involves developing test bench from scratch, scoreboard development for Cache Controller, SPI controller, test plan development and formal verification of all the ahb master/slave and other functional blocks.
UVM based test bench for LMH core level verification
January 1, 2015 – Present
Limits Management Hardware (LMH) is a controller which de-accelerates processor clock in Snapdragon chipsets. The idea is to reduce the clock edges by swallowing them when the temp or the current flowing is above a threshold level and stabilize the temp and current throughout. This LMh module is connected to the performance processor in order to throttle it whenever needed. The verification involves enhancing test bench for the new features, test plan development, formal verification of the ahb slave and all the other functional blocks.
Chlorophyll Based Battery
June 1, 2012 – July 1, 2012
This project was part of Siemens Intern Tech Challenge 2012. The idea is to find a stable method by selecting catalysts to perform artificial photosynthesis of water for producing electric charge which can be used. The by-products are oxygen which can be used for making oxygen cylinders and Hydrogen which can be stored and later use as hydrogen fuel.
Hands Free Room Controller
May 1, 2012 – July 1, 2012
This project was a part on my internship in Siemens. Seismic sensors are used to decode the gesture produced by user and then wireless transmission of that signal controlling various appliances inside the room. The same idea is to develop intrusion detector and auto-theft detector. Patent is also filed based on this idea.
FPGA Implementation of Neuro Fuzzy Processor with Adaptive Learning
January 1, 2012 – December 1, 2012
The idea is to build a processor based on artificial neural network and fuzzy logic. This system is based on a custom neural device which can implement either Multi-Layer Perceptrons or Fuzzy Paradigms. This system is implemented on Cyclone II based Altera FPGA Board.
Third Eye
August 1, 2011 – January 1, 2012
This project was part of TI Analog Design Contest - 2011. This project aims at developing a low cost portable real time image processing based Navigation Device For Blind people enabled with directional assistance through speech. This system involves processing a live feedback from a webcam in an OMAP based Beagle Board.
Satellite Image Processing
May 1, 2011 – June 1, 2012
This project was part of my intern at ISRO. The aim was to detect water bodies from a 7- band satellite image obtained from LANDSAT satellite. A Matlab GUI was built taking satellite image as input and applying NDWI algorithm for finding area covered with water bodies.
Gesture Based Wireless Gaming platform
August 1, 2010 – December 1, 2010
Aim was to build a gaming platform which can interpret gestures wirelessly and move object according to it in 2 dimensions. An lcd was interfaced with microcontroller, accelerometers are used for gesture detection and sonar is used for wireless transmission.
AI for Everyone
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Complete Python Bootcamp
Udemy
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Cryptography
Cybrary
June 24, 2026 – Present
Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from embedded systems and image processing in early career to advanced AI/ML at major companies like Paytm and Mastercard, demonstrates adaptability and a broad technical curiosity. Their progression through various leadership roles in data science indicates a drive for impact and growth. The involvement in fairness research and mentorship roles suggests a collaborative and responsible approach to technology, which generally aligns well with a positive cultural fit.
Soft Skills & Operational Fit
The candidate's career progression from Engineer to AVP, Data Science, and roles like 'Head of Data Science' and 'Mentor' at deeplearning.ai, suggest strong leadership, mentorship, and strategic thinking. The descriptions of leading fairness research and bias testing indicate a commitment to ethical AI development. The ability to lead R&D and productionize models points to strong operational capabilities and a results-oriented approach.