
Cofounder & CTO at GreyLabs AI
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Leading Technology and Information Security at GreyLabs AI
Ahmedabad University
Bachelor’s Degree, Information and Communication Technology
January 1, 2014 – January 1, 2018
Madhav International School
High School
January 1, 2012 – January 1, 2014
GreyLabs AI
Cofounder and CTO
April 1, 2024 – Present
Mumbai, Maharashtra, India · On-site
Cogno AI
Director of Engineering (Founding Member)
April 1, 2023 – December 1, 2023
Cogno AI
Head of Engineering (Founding Member)
January 1, 2020 – April 1, 2023
Cogno AI
Founding Engineer
August 1, 2018 – December 1, 2019
Generate Discrete token (Text) using adversarial training of Neural Networks
June 1, 2017 – Present
Complex neural models like CNN has achieved great success in generating data which is continuous in nature like images. But generating discrete token like the text is still changing a thing so we are researching on models and their functionalities which can help in generating appropriate tokens.
Generative models using Probabilistic Principal Component Analysis
January 1, 2017 – May 1, 2017
Implemented Probabilistic Principal Component Analysis method to find latent variable and use this variable in Generative Model for training a neural network which will help to generate new images which look like real images.
Analysis of CPU Scheduling Algorithms and Real time scheduling
August 1, 2016 – November 1, 2016
Implemented and have done comparative study of basic CPU scheduling algorithms like FCFS, RR, SRN, PS based on scheduling-criteria’s and come up with result that, for real time systems, these type of scheduling algorithms will not work. So, finally we have implemented Real time scheduling algorithms like RMS, EDF which mainly depends on deadlines.
Operation Research
August 1, 2016 – November 1, 2016
We have taken five existing real time problems (like Transportation problem, replacement problem,PERT-CPM, Assignment problem) from market and solved using linear programming optimization methods like LPP, LCM, VAM, Modi Method, Hungarian method, etc.
Designing of Ecommerce Database
January 1, 2016 – April 1, 2016
Designed database for Ecommerce site/application using fundamentals of DBMS like ER diagram, Functional dependencies (FDs), Queries, Relational diagram, Transactions etc.
Design Standalone 22-Shruti Synthesizer (Summer Project)
August 1, 2015 – Present
Designed 22-shruti synthesizer for Indian musicians in Scilab software, and now we are interested to make it standalone using raspberry pi 3 and MIDI keyboard.
Delta Search Engine
August 1, 2015 – November 1, 2015
By implementing data structures like queue using link-list (for history), inverted indices, priority queue (for search recommendation) and sparse matrix, we have come up with search machine which will help to search files from computer very efficiently
IEEE Xtreme Coding Competition
IEEE
June 23, 2026 – Present
Workshop on Networking
Ahmedabad University
June 23, 2026 – Present
Android Workshop
Ahmedabad University
June 23, 2026 – Present
Participated in PHONEGAP Workshop at FootPrints X5
FootPrints X5 - Faculty of Technology and Engineering, MS University Baroda
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has a strong entrepreneurial background, having been a founding member and leader at a startup. This indicates a proactive, innovative, and adaptable mindset, which can be a good cultural fit for dynamic environments. The diversity of personal projects, ranging from neural networks to CPU scheduling and operation research, shows a broad intellectual curiosity. However, the target role is 'Data Analyst', and while the candidate has relevant technical depth, their recent roles are heavily focused on engineering leadership and system building rather than direct data analysis, which might require a shift in focus. The lack of specific data analysis tools or methodologies mentioned in their professional experience could be a gap for a direct Data Analyst role.
Soft Skills & Operational Fit
The candidate's experience as a Cofounder, CTO, and Director of Engineering suggests strong leadership, strategic thinking, and problem-solving skills. Their involvement in building customer engagement tools indicates an understanding of product development and operational scaling. However, the provided data does not offer direct insights into specific soft skills like collaboration style or stress handling, beyond what can be inferred from leadership roles.