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CTO @ Board Infinity & Infylearn(L&D SaaS) | Curious about business, self-growth, tech, AI, and building impactful products
Right after college, I joined Board Infinity with a simple goal: to solve the unemployability crisis through technology. That one question has driven me over the last 6+ years. Today, I lead the Technology, Product, and AI functions at Board Infinity as its CTO & Founding Member, where we’ve grown from a single idea into a comprehensive learning and career enablement platform — offering everything from training and content to assessments, mentorship, and placements. Along the way, we also transformed our internal systems into scalable SaaS products under Infylearn, now powering multiple institutions independently. From owning the entire product lifecycle — from ideation and market fit to design, development, and deployment — to building robust backend infrastructure and DevOps systems that scale reliably, I’ve led the development of platforms like InfyInterview, InfyLMS, InfyAssess, InfyRecruit, and more. My work blends deep technical execution with product-first thinking, ensuring every feature and system aligns with user needs, institutional goals, and long-term scalability. I love building from scratch — taking an idea from zero to one, and then to scale. Whether it’s an internal tool or a flagship platform, I enjoy working across the stack and across teams to ensure the vision turns into something real, reliable, and impactful. What I value most is not just the code or architecture, but the culture of purpose-driven ownership. I’ve had the fortune of working with a tight-knit, mission-aligned tech team that has grown and stayed together over the years — a testament to shared vision, long-term thinking, and mutual trust. I specialize in backend systems, DevOps, product-led growth, and first-principles thinking. But beyond titles and tech, I’m deeply passionate about solving real-world problems at scale — especially in the higher education
fast.ai
Deep Learning For Coders - v3, Deep Learning & Machine Learning
January 1, 2019 – January 1, 2020
Lovely Professional University
Bachelor of Technology (B.Tech) (Hons) , Computer Science (Specialization: Machine Learning)
January 1, 2015 – January 1, 2019
R. D. National College
Associate's degree, Science
January 1, 2013 – January 1, 2015
St. Xaviers High School
High School
January 1, 2013 – Present
Packt
Technical Reviewer(AI)
March 1, 2019 – May 1, 2019
Board Infinity
CTO & Founding Member
December 1, 2018 – Present
Mumbai, Maharashtra, India
BrandRely
Software Developer
February 1, 2018 – November 1, 2018
Amritsar/Ludhiana Area
Self Driving Car using End to End CNN Model/Dave-2 [Deep Learning]
September 1, 2018 – October 1, 2018
A End to End CNN Model which predicts the steering wheel angle based on the video/image A TensorFlow/Keras implementation of this Nvidia paper(https://arxiv.org/pdf/1604.07316.pdf) with some changes. Used convolutional neural networks (CNNs) to map the raw pixels from a front-facing camera to the steering commands for a self-driving car. This powerful end-to-end approach means that with minimum training data from humans, the system learns to steer, with or without lane markings, on both local roads and highways. The system can also operate in areas with unclear visual guidance such as parking lots or unpaved roads. For More Info: Visit Github Link
SummaRise(Text Summarization) [ML | NLP]
July 1, 2018 – December 1, 2018
Understanding about Text Summarization and Implementing various Models used for Text Summarization (1) Analysis of Various Text Summarization Algorithms (2) Seq2Seq and Encoder-Decoder Recurrent Neural Networks (3) Pointer Generator Networks [Will be soon updated]
Wikipedia Articles with Temporal timelining [Machine Learning | NLP | Flask]
July 1, 2018 – August 1, 2018
(1) Analysis of various temporal parsers like Natty, DateParser, etc. (2) Getting wikipedia articles using Wikipedia Api (3) Temporal timeline using temporal words and context (4) Word Embedding of each sentence using Google Word2Vec (5) Deployed as Website build using Flask, Bootstrap & jQuery
Amazon Fine Food Reviews[Machine Learning]
June 1, 2018 – October 1, 2018
Dataset Link: https://www.kaggle.com/snap/amazon-fine-food-reviews * Performed EDA and Data Visualization using WordClouds, TSNE, various plots. * Performed necessary Data Cleaning & Data Pre-Processing * NLP Text Featurization using BOW, tf-idf and Word2Vec * Built various ML Models like[Naive Bayes, Logistic Regression, KNN, Random Forest, GBDT, etc] on data For Detailed Review please have a look at my IPython Notebooks
Color Quantization using K-Means [Machine Learning]
April 1, 2018 – Present
Quantization of an image wherein downscaled image from 6 million colors to 64 colors still maintaining a quite decent quality of the image
Crypto Tracker [Python GUI using PyQT]
April 1, 2018 – May 1, 2018
Crypto Currency Tracking App built using PyQT GUI Framework and Python * Ranking with information of top cryptocurrencies * Interactive Charts * Save charts as image for later reference * Compare two crypto currencies * Get Latest News from different crypto sources
SabStore [iOS App built on Ionic Framework]
February 1, 2018 – May 1, 2018
* Developed iOS App using Ionic Framework for food delivery startup in LPU. An appealing GUI with various modules for payment, filtering, searching, etc. * Used Firebase as database and uploading files and data storage
App for Tools Manufacturing Company [Ionic 3 Hybrid App]
November 1, 2017 – January 1, 2018
The app is a prototype made for Oaykay tool a tool manufacturing MSME industry.We are designing a solution to improve the efficiency of tools manufacturing company and designed the app for data entry and data visualization for the manager and also customers can order from the app. Technologies Used Ionic 3 Angular 4 Firebase
Tech Share [Web Development]
August 1, 2017 – September 1, 2017
TechShare is a website wherein user can share their tech-related posts which are read by other users Users can view, create, like or comment on posts. Technologies Used: FrontEnd: 1)HTML 2)CSS 3)JavaScript 4)Semantic UI 5)jQuery Backend 1)NodeJS 2)ExpressJS 3)MongoDB 4)EJS 5)Passport 6)Heroku 7)JSON 8)RESTful Routing
Weather App CLI [Node JS]
July 1, 2017 – Present
Weather App in Command Line Built using Node and Forecast.io
Courses Unified [Ionic 3 Hybrid App(Android,iOS,Windows)]
February 1, 2017 – May 1, 2017
Courses Unified is about finding for MOOC’s from various MOOC’s websites like Coursera, edX, Udemy, Udacity etc.It will help users to find the best and most popular courses aggregating it from various websites. It ranks courses according to the users rating and upvotes. User can also add the course as enrolled or in the wishlist. User can filter the courses according to the price, date and Mooc websites. User can also ask to directly navigate to the MOOC Course Page and buy the course from within the app. The App is made using the Hybrid Apps Approach so app is made for Android, iOS, Instant Apps and Windows using same codebase. Technologies Used: Ionic 3 Framework Angular Framework Cordova Node JS Framework JSON data(for retriving the information)
Fitness Calculator [Python GUI using Tkinter]
October 1, 2016 – December 1, 2016
Made this app using Python GUI library Tkinter it takes medical inputs and give relevant information to the user according to its medical reports. Can be used in hospitals.
University Admission Criteria [C++]
October 1, 2015 – November 1, 2015
LPU Admission Criteria System is Interface built in C++ for student and admins of the university.Students can check out their eligibility for various courses after entering their details.And it can also share with them some scholarships which they are eligible for. University persons can use the data by the student to further contact them and analyze the data of students.
Code-First Introduction to Natural Language Processing
fast.ai
June 23, 2026 – Present
Machine Learning and Deep Learning
Applied AI Course
June 23, 2026 – Present
Full Stack Web Developer BootCamp - Colt Steele
Udemy
June 23, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong entrepreneurial spirit and a passion for building, as evidenced by their CTO role at a startup and numerous personal projects. The diversity of projects, from ML/NLP to mobile and web development, shows adaptability and a broad interest in technology. Their focus on educational technology at Board Infinity aligns with a mission-driven environment. However, the majority of projects are personal, and the professional experience, while senior, is primarily within a single startup. This might indicate a preference for high-autonomy, fast-paced environments. The breadth of skills, while impressive, might also suggest a generalist tendency rather than a deep specialization in a specific ML sub-field, which could be a fit depending on the team's needs.
Soft Skills & Operational Fit
The candidate's role as CTO and Founding Member at Board Infinity suggests strong leadership, product management, and strategic thinking skills. The diverse range of personal projects indicates initiative, problem-solving, and a continuous learning mindset. The description of leading a dynamic team implies collaboration and operational management capabilities. However, without direct assessment data on soft skills, this is inferred from the role and project descriptions.