Welcome to yonderwonder.ai, a Boston area tech startup!

YonderWonder Illustration

yonderwonder.ai is researching advanced generative AI techniques to help you edit photos and videos to add realistic visual effects for your faces such as making you look older, younger, thinner, broader, coloring your hair, removing eye bags, and various other effects. Our AI effects are designed to look natural and retain the distinct details that make you unique.

The product is currently in an early beta. We hope you enjoy using yonderwonder.ai just as much as we've enjoyed building it

Meet the team!

Jagannath Jagannath

Jagannath

Founder & CEO

Jagannath finished his Bachelors in Computer Science from Goa College of Engineering, MS in Computer Science from Stanford, and completed additional graduate-level courses in Machine Learning and Computer Vision from MIT. He has over 25 years of experience in the software industry with leadership roles in engineering and product management at VMware, Amazon, and Twitter. He holds 3 patents for his inventions. He lives with his family near Boston.

Ankit Rai Ankit Rai

Ankit Rai

Software Development Engineer

Ankit Rai is a recent graduate in Computer Science. He handles backend, frontend, and design, pipelines, and deployments. Outside of work, he enjoys working out, reading books, playing chess, dancing, listening to music, and public speaking.
Ayush Gupta Ayush Gupta

Ayush Gupta

Product and Growth Manager

The Swiss Army Knife of the Company. Ayush is a recent graduate in Computer Science and Engineering who loves exploring all other things rather than his core discipline. Throw him product sense, growth hacking, or managing teams and he'll do it all, occasionally questioning his existence, and then somehow still delivering. Isn't that basically what Product Managers do anyway?
Bhavyansh Bhavyansh

Bhavyansh

Software Development Engineer

Bhavyansh is a recent B.Tech CSE graduate turned Mobile Engineering Wizard. He specializes in conjuring seamless user experiences out of complex Generative AI models, ensuring the magic fits in your pocket without your phone melting. He is obsessed with pixel-perfect UI and smooth transitions, mostly because he believes life is too short for laggy animations. Currently fluent in Flutter, React Native, Android and sarcasm.
Kaustav Tarafdar Kaustav Tarafdar

Kaustav Tarafdar

Software Development Engineer

Hi, I'm a backend engineer here. I work on building the core functionality and making the workings look pretty. Now, making the visuals pretty is where I'm going to pretend I couldn't hear you. When I'm not going schizo about lines of code, I watch football, watch movies with very little funding, or amass random bits of information about literally anything. I'll do great at your local pub quiz.
Keerthana Adla Keerthana Adla

Keerthana Adla

Software Development Engineer

Keerthana is a recent CSE graduate in AI and ML. She never limits herself to one domain and enjoys working across ML models, data pipelines, frontend, backend, and every layer that brings a product to life. Driven by curiosity and a love for building end-to-end solutions, she explores systems deeply and turns them into cleaner, faster, and more reliable versions while bringing clarity, creativity, and positive energy to everything she does.
Mamoon Khursheed Mamoon Khursheed

Mamoon Khursheed

Machine Learning Research Intern

My name is Mamoon Khursheed, and I am a graduate from the University of Kashmir with a Bachelor's degree in Electronics and Communication Engineering. I have a passion for solving problems using computer vision, driven by belief in developing real-world solutions to everyday challenges. Outside of my technical interests, I am an avid football fan, with Manchester United being my favorite team. I also enjoy watching movies, with "Inception" being my top pick, and reading books, particularly the fantasy genre with "Mistborn" series as my favorite.
Nikita

Nikita

Software Development Engineer

Nikita is a software engineer with a knack for solving problems end-to-end. She's contributed to interactive experiences and now focuses on building reliable backend infrastructure and key features for the application.
Pragato Pragato

Pragato

Machine Learning Researcher

B.Tech in Computer Science & Engineering. ML engineer focused on computer vision and image processing. I optimize inference pipelines for production, debug messy code, drink too much coffee, and read sci-fi when my guitar isn't within reach.
Sampoorna Venkatesh Sampoorna Venkatesh

Sampoorna Venkatesh

UX Design Intern

Sampoorna, once an architect and now a UX designer, loves decoding people, behaviours, and business needs. She enjoys tackling tricky problem statements—and has a habit of sticking with them until the puzzle pieces fit.
Sanika Talavdekar Sanika Talavdekar

Sanika Talavdekar

UX Design Intern

UX Designer and former interior designer, Sanika designs at the intersection of compelling narrative and intuitive architecture. Armed with a degree in Industrial Design, she transforms user needs into meaningful, emotional journeys that blend spatial intuition with rigorous empathy. Off-screen, her creativity flows through painting and the worlds she discovers in books. She builds experiences that are deeply intuitive and emotionally resonant.
Shadab Khan Shadab Khan

Shadab Khan

Machine Learning Researcher

Shadab holds a Masters in AI and spends his days diving deep into the matrix of Computer Vision and Generative AI. Whether he's training Diffusion Models or untangling GANs, he combines a researcher's eye for detail with an intuitive understanding of deep learning that borders on telepathy. He is usually fueled by caffeine and his love for psychological thriller movies. Does he train the models, or do the models train him?
Sougata Sougata

Sougata

Machine Learning engineer

Sougata is an ML engineer who spends most of his time convincing GPUs not to explode and diffusion models and LLMs to follow instructions. He works across generative media, computer vision, and real-time ML systems, building practical products out of cutting-edge research. He's currently building tools that automate creative workflows and make machine learning actually useful in the real world — not just in research papers with perfect datasets. When he's not training models, he's probably debugging why they suddenly stopped working for no reason.