Nov 2021 – Oct 2022 · 11 mos · Bengaluru, Karnataka, India

• Building algorithms for AI and Autonomous Networks at Rakuten Mobile on a mission to create the world's first fully autonomous networks.

Jun 2018 – Nov 2021 · 3 yrs 5 mos · Bengaluru, Karnataka, India

• Founding member and the Head of Rakuten Research India, internally we call it as RIT (Rakuten Institute of Technology) an R&D wing of Rakuten, majorly focusing on Computer Vision, NLP, Customer Sciences and Conquering Cancer using AI. Research details are here : https://rit.rakuten.com/

Jun 2016 – Jun 2018 · 2 yrs · Greater Hyderabad Area

• Primarily our mission is to help organisations, in turn billions of job seekers, to automate their hiring process. How can we build tools that can support both the hiring managers and job seekers ?
• There are numerous opportunities to utilise the learning algorithms to capture the cognitive processes of recruiting managers' way of thinking, assessing, and hiring candidates, but this is a complex problem to build any intelligent system that can mimic the behaviours of thousands of recruiting managers and millions of job seekers coming from various domain experiences. We observe the processes of hiring candidates for various job roles but there is a "Dark Data" that is completely hidden behind these processes. It cannot be observed directly but effects of it are observed in the form of hired candidates. We focus on building tools that can collect this hidden data and analyse them to retrieve the most intuitive knowledge out of them to compose in the form of Knowledge Graphs (KG); these KGs can better be utilised our self-learning systems.
• Some of our unstructured data products including Knowledge Graphs, Ontologies, AI-Bots, and Recommendation Systems, where we primarily use NLP algorithms combined with other Non-linear modelling techniques

Apr 2013 – May 2016 · 3 yrs 1 mo

• As a Principal Scientist, leading a group of Data Scientists (PhDs, M.S., typically 10-15) and Software Engineers (Delhi & Shanghai) for the development of intelligent systems and analytical tools helping automation of large scale data science operations (Advanced Distributed Machine Learning Labs)
• Working positively with a broad spectrum of internal and external clients, to work closely with client initiative leaders and business development teams in writing business proposals and running POCs to understand the business impact
• Extensive knowledge and hands-on experience in setting up high performance scientific computing lab (GPU + Hadoop and MPI clusters) and hiring Data Scientists (Delhi \& Shanghai) from top-notch universities

Jun 2012 – Apr 2013 · 10 mos

• My Responsibilities:
• Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment.
• Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques.

Jun 2010 – May 2012 · 1 yr 11 mos · College Park, USA

• 1. Conservative classification algorithms for engineering decision making
• 2. Machine learning algorithms for the navigation of Unamanned Ground Vehicles
• 3. Robot behavior adaptation for human-robot interaction using neuro-evolution,
• reinforcement learning algorithms

Apr 2009 – May 2010 · 1 yr 1 mo · IIT Kanpur

• Finding Pareto optimal solutions for high dimensional multi-objective optimization problems under the supervision of Prof. Kalyanmoy Deb at KanGAL (www.iitk.ac.in/kangal)

Apr 2002 – Jan 2003 · 9 mos

• Galloping Robot experiments on the theory "Stability of Galloping Motion with and without Energy Input" (Kondareddy, Rudrapratap)