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Senior Product Manager | AI | Growth | Skit.AI & Newton | IIT Roorkee
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Product management professional with experience in developing products/processes for enhancing user experience, engagement and conversions on web and mobile platforms. Previously build AI Platforms and products with Skit.ai
Indian Institute of Technology, Roorkee
Bachelor of Technology (BTech), Electronics and Communications Engineering
N/A – Present
Jaspal Kaur Public School
12th Class, Non Medical
N/A – Present
ALLEN Digital
Senior Product Manager
April 1, 2025 – Present
Bengaluru, Karnataka, India · On-site
ALLEN Digital
Product Manager
May 1, 2024 – May 1, 2025
Bengaluru, Karnataka, India · On-site
Newton School
Senior Product Manager
November 1, 2021 – November 1, 2023
Bengaluru, Karnataka, India
Skit.ai
AI Product Manager
March 1, 2019 – November 1, 2021
Skit.ai
ML Research Engineer
December 1, 2018 – May 1, 2019
Swift MobiTech
Co-Founder
November 1, 2017 – November 1, 2018
Bengaluru, Karnataka, India
Skit (previously Vernacular.ai)
AI Intern
November 1, 2016 – July 1, 2017
Bengaluru, Karnataka, India
Indian Institute of Science
Summer Research Intern
May 1, 2016 – July 1, 2016
Bengaluru, Karnataka, India
Digitalization of Scooty
April 1, 2018 – Present
Aimed to retrofit a normal Scooty to a dockless Scooty to be picked and dropped anywhere by anyone, keeping the security of the scooty intact Involved keyless engine switching, opening and closing of handle and seat lock, digitalization of fuel measurement and GPS tracking
Dynamic Speed Limit
October 1, 2017 – Present
Proposed a novel algorithm to reduce congestion in a city by determining the road specific speed limit at a particular time, and verified the results using simulation. Algorithm took into account traffic in the city and the situational factors of a specific road like bicycles, pedestrians, and heavy vehicles to calculate the speed limit
ALUM - A LUMPED UP MARKET
September 1, 2017 – Present
Developed an Android based zero cost and highly localized advertising solution for small businesses Involved developing a buyer side application to remind him of shopping in a nearby store in GPS free and internet free way
Generative Adversarial Text to Image Synthesis
August 1, 2017 – March 1, 2018
• Worked on the Automatic synthesis of realistic images from detailed text descriptions as Bachelor's Thesis Project • Generated a comparative result on birds and flowers involving Conditional GAN, Conditional WGAN, Attention GAN • Used skip-thought vectors and RNN text encoding for text vectorization
Comparison of image processing techniques on Retinal Blood Vessel Segmentation
January 1, 2017 – April 1, 2017
• Automatic segmentation of blood vessels in fundus images is a binary classification problem of classifying a pixel as vessel or non-vessel. • GPU implementation of max-pooling CNNs was used for segmenting purpose. The model was tested on various inputs such as pixel intensity, FFT coefficients and 2D Gabor wavelet responses of the images.
Hinglish Date-Time Parser
January 1, 2017 – March 1, 2017
• Mentored the project which aimed at creating an algorithm to extract the date and time-related words from Hinglish input and to parse them. Hinglish input consists of Devnagri script but written in Roman Language. • For Example, if the input is "Kal shaam ko paanch baj kar 18 mins 20 seconds main meri meeting hai." then algo output is Date -> [30/07/2017] Time -> [5:18:20 PM]. This information has many useful applications.
Smarter Walking Cane
January 1, 2017 – March 1, 2017
• Mentored the project which was presented in Srishti 2017. • A cane for aiding blind people via obstacle detection and scene description. Used ultrasonic sensor for obstacle detection. The cane includes a camera that captures an image at the push of a button and then describes it in 2 line.
Smarter Phone
January 1, 2017 – February 1, 2017
• An Activity based Smart health assistant that can provide health tips, product recommendations etc by analyzing daily activities such as walking, sitting, standing etc. Developed using Smartphone's accelerometer sensor, Machine learning (CNN). Currently developed for Android.
A systolic architecture for face recognition system based on principle component neural network
September 1, 2016 – November 1, 2016
• An efficient self-configurable systolic architecture for very large scale integration implementation of a face recognition system. • Implemented the Hebbian Learning algorithm on XILINX Spartan-3E. • Able to identify 14 out of 15 different faces which were not used while training of datasets.
Energy generation using Piezoelectric Effect
February 1, 2016 – Present
This project was presented in Make In India Hackathon, IIT Bombay. Tiles were made using piezoelectric material which would generate energy when pressed. The motive is to place such kind of tiles in public places that experience enormous footfall and consume the energy produced in some low power devices there itself.
SLAMS (Self Learning Automated Monitoring System)
January 1, 2016 – Present
The project was done under aegis of electronics section, IITR and had been presented in Inter IIT Tech Meet-2016 held in IIT Mandi. This project involved creating an android and a web portal to control various devices in home. The app would also maintain a log of family members entering and exiting the home. The system also had measures for door security and automatic curtains based on light intensity outside the room. Artificial intelligence (AI) was implemented to control the fan speed.
Identified Flying Object
October 1, 2015 – Present
A windows application was developed during the 24-hour Code.Fun.Do hackathon organized by Microsoft. The application was made to control the movements of Parrot AR Drone 2.0 with the gestures that person made using Kinect 2.0.
Your Society Needs You
February 1, 2015 – Present
We made an application to reduce the crimes against Women. In case of emergency, the application took the data of the situation and location via GPS. This data was sent to an Emergency Helpline so that help can reach to the one in need as soon as possible.
Movie ticket booking system
October 1, 2014 – Present
A movie ticket booking platform developed in Java that allows users to watch trailers of upcoming movies and purchase tickets.
Cultural Fit Analysis
The candidate's project history shows a strong inclination towards innovation and problem-solving, ranging from IoT and smart systems to advanced AI applications. Their experience in both product management and ML research/engineering roles suggests adaptability and a holistic view of product development. The diversity of projects, including social impact initiatives, indicates a broad interest and potential for collaborative contributions. However, the recent shift towards pure product management might require re-evaluation of their hands-on coding and ML engineering depth for a dedicated ML Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and team management skills through their Senior Product Manager roles. Their experience in optimizing funnels, improving conversion, and driving user engagement suggests a results-oriented and analytical approach. The co-founder experience indicates entrepreneurial drive and problem-solving capabilities. The focus on AI/ML product development aligns well with operational fit for an ML Engineer role, particularly in a product-driven environment.