Aseem Khanduja

Unstudio is building an AI-powered design suite that will empower every brand, designer and creator to connect with their audience better. We are training truly large foundation AI/ML models for generating and editing Pixels. And we are deploying them at scale for millions of users with near real time inference.

Co-founded Strive - A platform for live & Interactive Cohort Based Courses in Passion and Hobby based domains.

IMS (Intelligent Merchant Solar): • Conceptualized and designed AI-enhanced scheduling and trading software. • Built to increase the speed and reliability of energy market decision-making, as the necessity of autonomous evaluation accelerates. • Powered by ML based price and renewable generation forecasting and optimized decision making, it has helped IPPs generate over 12% extra revenue over the year. Electricity Demand Forecasting for Australia and UP: • Forecasted electricity demand for the most populous Indian state of Uttar Pradesh (UP), on intra-day, day ahead and month-ahead basis on 15 min grid block level. These forecasts are now being used by UP state level distribution company (UPSLDC) to provide electricity to the whole state. • Forecasted electricity demand for all the 5 Australian states, on intra-day, day ahead and month-ahead basis on 30 min grid block level. • These forecasts showed solid improvement upon the existing forecasts generated by government owned Australian Energy Market operator (AEMO) and have been adopted by several IPPs across Australia ROC (Remote Operations Center) • Ideated and designed ROC to reduce O&M costs of a renewable Power plant and bring them back to profitability • Integrated with Digital Twin technology, Internet of things (IoT) and driven by AI, it provides a virtual copy that enables exact comparison with real system • Pattern recognition and data anomaly detection are used to identify subtle but significant trends that might indicate an upcoming component or system failure • Currently under pilot stage and Patent Pending SQL/Mongo Databases and Scraping: Experienced in building SQL and Mongo databases

• Basically boring sales reporting and analyst work, so left within 4 months

Representative at Students affair council, IIT Delhi

o Studied flow of different kind of nanofluids through channels of different shapes and sizes. o Calculated the heat transfer coefficients and nusselt number for various cases.

o Examined the effects of various adulterants on milk. o Studied various techniques to check major adulterants in milk like Water,Formalin, Soap, salt etc. o Modelled an Integrated device that can be used to check all these adulterants at once.

o Built a low cost mechanical washing machine. o Works on the basic principle of a bicycle. o Saves electricity, water charges and provides a cheap way of washing clothes for Rural areas.

CSV Based Solar Insolation Interpolation Technique, Azure Power (May, 2016 - July, 2016) : o Studied, reviewed and compared various existing models that predict solar Insolation based on the meteorological factors like latitude, longitude, altitude, cloud cover, precipitation, ozone length, wind speed etc. o Designed a model based on Gradient Boosting, Model predicts solar insolation at any site on earth o Obtained a significant decrease in MAPE from 15% in older models to 5% in new designed model

Novel Electrospun methods for PEM Fuel Cells (May 2015 - July 2015) Supervisor: Dr. Christina Roth, Chemistry, Freie University, Berlin • Prepared porous 3-D nano-fibrous structures from polymers PAN, PAA with additions of nafion, titanium oxide, sodium chloride by using the technique called Electrospinning; Fibers then used as membranes in fuel cells. • Developed correlations among various factors like voltage, humidity, pumping rate which affect the process of Electrospinning to produce fibers of desired sizes and properties.

Representative at SAC IIT Delhi Quizzing Representative