◦ Leading the AI research team in the development of a state-of-the-art CV parsers and skills-based recommendation engines.
◦ Implemented cutting-edge techniques of NLP, to extract nuanced semantic and syntactic information from structured and unstructured data.
◦ Engineered and implemented NLP & LLM-backed hiring co-pilot, reducing manual efforts by xx%.
◦ Joined the founding team (academics from NYU and University of Cambridge) to empower the next 3 billion mobile users to interact, transact and monetize with local communities.
◦ GAIUS Networks was one of the participating startups for 12 week Facebook (Meta) London Accelerator Programme in 2019. [story on Meta Developers page]

◦ Researched on "Transient Anomaly Detection in Smart Homes" within the Complex Networks Research Group [CNeRG] at IIT Kharagpur.
◦ Implemented Apriori Algorithm and fault injection method using Weibull Distribution and 2 state Markov Model to correlate sensor data collected from Smart Devices in order to predict Transient Anomaly of the sensors based on ADLs (Activity of Daily Life).

◦ Developed a Mood Detection model using pre-trained VGG-16 architecture which detects 6 different type of moods utilizing FER-2013 repository and deployed the model through an interactive webapp using Django.

◦ Researched and presented a white paper on ”Demystify the Proposal of a Smart City in Bidhannagar and Rajarhat using Machine Learning, IoT and AI”.