Aman Dalmia

I have built AI products for almost 10 years at companies like HyperVerge, Wadhwani AI, Niramai and Avanti Fellows and carry a deep passion for driving meaningful change through my work.

Now, I work as an independent AI consultant and advisor, helping organizations use AI effectively in their work. I run workshops to upskill teams on AI and help engineering teams build AI-first products. If you need help with a project or want to upskill your team, you can reach out to me or connect with me on LinkedIn.

Consulting with HyperVerge Academy (enabling youth from low-income backgrounds prepare for jobs of the future and get placed) and ReapBenefit (building a grassroots movement of first-mile changemakers redefining climate and civic leadership through impactful hyperlocal actions).

Building SensAI, an AI-powered LMS that helps educators provide real-time, personalized support to learners while reducing their workload.

2025-
I work as an independent AI consultant and advisor, helping organizations use AI effectively in their work. I run workshops to upskill teams on AI and help engineering teams build AI-first products. If you need help with a project or want to upskill your team, you can drop me a note.
2023-2025
I returned to HyperVerge after 5 years and led AI for HyperStart, a legal Contract Lifecycle Management (CLM) platform in our journey from 0 to $100k MRR. I have also been building SensAI, an open-source, AI-powered LMS, for our non-profit arm HyperVerge Academy where we support students from low-income backgrounds to get jobs in the tech sector.

You can join in too:
  • SensAI is open-source, fork it/clone it/play around with it
  • Join our community of builders in AI + education and share how you would like to contribute
  • Look at our public roadmap and share your ideas/requests
  • Help spread the word and gather more feedback on how we can do better
2022-2023
Joined an early-stage startup named WisdomCircle as a Consultant Tech Lead. Built the first version of product with Joanna and the rest of the team to help retirees find meaningful things to do post-retirement and set up the engineering team.
2020-2022
I worked as a Software Engineer at Avanti Fellows, a non-profit founded in 2010 by Akshay Saxena that works with students from low-income backgrounds to support them in getting into good engineering and medical colleges, providing a pathway out of engineering and medical colleges, providing a pathway out of poverty. We built several open-source products to improve how our students learn. Notably, we built Plio, an open-source tool that converts any YouTube video into an interactive lesson plan and provides educators all the learning data at the level of each student. It increased the completion rates on our videos by 5x and was used by > 40000 students in Haryana during the COVID-19 pandemic. We were part of the 7th Cohort of The Nudge Incubator and won the Tools Competition by Schmidt Futures under the "Accelerating Learning" track in 2022-23. Plio continues to be used by Avanti Fellows to support students in their learning and is being used by other non-profits like The Apprentice Project (TAP) in their programs as well.

I built the first version of Avanti's Quizzing Engine, an open-source platform for students to practice and prepare for their exams. The quizzing engine is in active development and regularly being used by thousands of students. Here is a demo of the quizzing engine in action!

In the journey, we got to go to incredible places and meet amazing people. We even gave a presentation only using memes. Visiting Tehri for a retreat with other tech-focused non-profits is a memory that I will always cherish. You can read about our experience here!
2018-2020
I was the founding team member of Wadhwani AI, a non-profit dedicated to using AI for social good. We built AI-based solutions for pest-management in cotton farms (featured on the PyTorch blog, won the Google AI impact challenge for $2M, published a paper in KDD), estimating the weight of newborns from a video to identify low-birth weight babies (accepted as best paper at Computer Vision for Physiological Measurement (CVPM) Workshop, CVPR 2024) and screening for COVID-19 using cough sounds (paper published at ICLR 2021 AI for Public Health and Machine Learning for Preventing and Combating Pandemics Workshops, code).
2014-2018
B.Tech at IIT Guwahati with a major in Electronics & Communication Engineering. But I hardly focused on my major until my curriculum included a lot of math and ML. I got into programming in my first year [android development], worked with a lot of startups on campus, started (and failed) my own startup in education, and then, got into Machine Learning, mostly learning on my own, making open-source contributions to scikit-learn, working with Prof. Amit Sethi on applying deep learning to predict cancer recurrence using histopathology images, working with Prof. Ashish Anand during my Bachelor Thesis Project on predicting splice sites using genome sequences (paper) and interning at Niramai [detecting breast cancer in thermal images using deep learning (paper)] and HyperVerge [change detection in geospatial images using deep learning].
tools
SensAI is an open-source, AI-powered LMS, an AI-powered LMS that helps educators provide real-time, personalized support to learners while reducing their workload.

[Frontend] [Backend] [Community]
Plio is an open-source tool to convert any YouTube video into an interactive lesson by adding questions in between and get actionable insights on how students learn.

[Frontend] [Backend]
publications
NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry
CVPM Workshop, CVPR 2024
Yash Khandelwal, Mayur Arvind, Sriram Kumar, Ashish Gupta, Sachin Kumar Danisetty, Piyush Bagad, Anish Madan, Mayank Lunayach, Aditya Annavajjala, Abhishek Maiti, Sansiddh Jain, Aman Dalmia, Namrata Deka, Jerome White, Jigar Doshi, Angjoo Kanazawa, Rahul Panicker, Alpan Raval, Srinivas Rana, Makarand Tapaswi
Impact of data-splits on generalization: Identifying COVID-19 from cough and context
ICLR 2021 (workshop)
Makkunda Sharma, Nikhil Shenoy, Jigar Doshi, Piyush Bagad, Aman Dalmia, Parag Bhamare, Amrita Mahale, Saurabh Rane, Neeraj Agrawal, Rahul Panicker
Pest management in cotton farms: an AI-system case study from the global south
2020
Aman Dalmia, Jerome White, Ankit Chaurasia, Vishal Agarwal, Rajesh Jain, Dhruvin Vora, Balasaheb Dhame, Raghu Dharmaraju, Rahul Panicker
Exploring deep learning networks for tumour segmentation in infrared images Captioning
2020 (Journal)
Siva Teja Kakileti, Aman Dalmia, Geetha Manjunath
Using the Chou's 5-steps rule to predict splice junctions with interpretable bidirectional long short-term memory networks
2020 (Journal)
Aparajita Dutta, Aman Dalmia, R Athul, Kusum Kumari Singh, Ashish Anand
highlights