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Building Calyb AI ... On a Mission to Make All Softwares and Systems Truly Intelligent
I am building systems with a simple belief: Software should work for humans, not the other way around. That belief comes from working on systems where precision and correctness mattered, where you couldn’t rely on abstractions, only on first principles and how things actually behave. Today, I'm applying that thinking at CalybAI I’m building a general intelligence layer for SaaS and enterprise systems, bridging the gap between how a business actually operates and what its software can execute. The Goal is simple: Move from software that demands constant human input → to systems that understand context and drive outcomes. If you’re building or thinking along similar lines.. Let's connect🤝 and push the boundaries of what's possible🚀
Indian Institute of Technology, Roorkee
Bachelor of Technology, Computer Science and Engineering
January 1, 2015 – January 1, 2019
Yaduvanshi Shiksha Niketan
12th, Non-Medical
January 1, 2014 – January 1, 2015
Modern Public School - Bhiwadi
10th
January 1, 2012 – January 1, 2013
Calyb AI
Co-Founder
April 1, 2025 – Present
Stealth Mode Startup
Interim CTO
November 1, 2024 – January 1, 2025
Bengaluru, Karnataka, India
optimyss
Founder & CEO
February 1, 2024 – September 1, 2024
Gurugram, Haryana, India
APT Research Private Limited
Low Latency Software Engineer
July 1, 2019 – September 1, 2023
Bengaluru
Samsung R&D Institute India
Summer Internship
May 1, 2018 – July 1, 2018
Noida, Uttar Pradesh, India
FilterLady.com
Web Developer
August 1, 2015 – March 1, 2016
Roorkee
Earthquake-Induced Landslide Prediction using Machine Learning based Models
August 1, 2018 – April 1, 2019
• Worked on the earthquake-induced landslides (EQIL) which may occur immediately or days later during rescue operations • The knowledge of EQIL susceptible areas is useful for evacuating people and making rescue plans • Worked with geological data such as landcover, lithology, slope, etc and variables related to ground motion caused by an earthquake. • By processing and integrating these geology datasets we formulated our own dataset suitable for training ML models • Trained machine learning models for EQIL prediction on our dataset
Live Object Tracking
May 1, 2018 – July 1, 2018
• Project goal: Creating an accident prevention application which uses the relative speed estimate of a vehicle to alert the driver(user) for possible chances of collision • Application uses the camera of a mobile device and tracks the movements of vehicles in the camera feed (in real-time) • The user can select a particular vehicle to get relative speed estimate for that vehicle
Zero Shot Super Resolution
January 1, 2018 – May 1, 2018
• Worked on the paper "Zero-Shot Super-Resolution using Deep Internal Learning" . • Zero-Shot SR (ZSSR) exploits the power of Deep Learning, without relying on any prior image examples or prior training. • It exploits the cross-scale internal recurrence of information inside a single image, and train a small image-specific CNN at test time
Relational Database Design of Social Network like Facebook
September 1, 2017 – November 1, 2017
• Developed database schema for a social network like Facebook • Designed the schema with proper ER-diagram, functional dependencies, candidate keys and schema diagram • Stated proper queries for all the possible tasks in a social network database
NotifyMe
February 1, 2017 – Present
• NotifyMe is a web app that shows your e-mails(gmail and outlook), weather information and a to-do-list. • It uses gmail and outlook apis for emails, and yahoo weather api for weather information. • Developed using Javascript, HTML, and CSS • The interface is developed using google material design (materializecss).
Sound Profile
February 1, 2017 – April 1, 2017
• Sound Profile Manager is an android application that helps manage the sound profile of your smartphone. • The profile is set according to a persons weekly time table for different time slots within the day (the time slots are taken as input from the user). • Developed in Android Studio.
Producer-Consumer problem, Banking Algorithm with multithreading
January 1, 2017 – April 1, 2017
• Implemented Producer Consumer Problem using counting semaphores and mutex locks • Implemented bankers algorithm with multi-threading
KVPY 2014 Scholar
Indian Institute of Science (IISc)
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from ML and computer vision to web development and operating systems concepts, demonstrates a broad technical interest and adaptability. The entrepreneurial roles suggest a proactive and innovative mindset, which could be a strong cultural fit for dynamic environments. The target role of ML Engineer aligns well with their academic projects in machine learning. However, the recent shift to entrepreneurial roles after a significant software engineering tenure might require clarification regarding long-term career aspirations in a corporate ML engineering setting.
Soft Skills & Operational Fit
The candidate's entrepreneurial background suggests strong initiative, leadership, and problem-solving skills. Experience in a low-latency environment implies a focus on performance and robustness. Collaboration with various teams (FPGA, Trading, Network Ops) indicates good teamwork and communication. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.