Jul 2022 – Nov 2022 · 4 mos · Singapore

Jun 2019 – Jun 2022 · 3 yrs · Singapore

• Built Machine Learning models to successfully predict the waste water plant data.
• Implemented ETL pipeline to connect the data source to the input of Machine Learning models.
• Used Deep Neural Networks and time series forecasting to predict the parameters for auto-calibration of plant data.

Jan 2018 – May 2019 · 1 yr 4 mos · Singapore

• Built a reinforcement learning agent using deep Q-network algorithm to win Pacman game efficiently.
• Used Generative Adversarial Networks to improve it further and showed that it performs better on a wide range of domain. The training was done using Machine Learning stack on Amazon Web Services.
• Re-searching on Monte Carlo Tree Search nets to improve reinforcement learning agent’s efficiency.
• Built a user interface demonstrating optimised strategies for our client using Django.

Aug 2016 – Nov 2017 · 1 yr 3 mos

• Built an end to end connection for data transfer with one of our clients using vibe.d (dlang).
• Also, implemented entity recommendation system using collaborative filtering technique which recommends entities of different organizations based on their history.

May 2015 – Jul 2015 · 2 mos · Hyderabad Area, India

• Built an integrated desktop application to reflect customer insights for the Microsoft sales teams. Worked on retrieving data and building the user interface using SSIS, TSQL, JavaScript, HTML5, CSS and Visual Studio Express for Windows 8.