EDUCATION

  • Sri Jayachamarajendra College of Engineering (SJCE), Mysore, India

  • Visveswaraya Technological University, India

  • Graduated: 2009

  • Courses Taken: Data Structures with C, Computer Organisation, System Software, Database Management Systems, Computer Networks, Compiler Design

Ph.D. in Computer Science & Engineering 2020 – Present

Master of Science in Computer Science 2018 – 2020

Bachelor of Engineering in Computer Science and Engineering 2005 – 2009

INDUSTRY EXPERIENCE

  • Served as a Subject Matter Expert (SME) for critical Human Capital Management processes, including independently managing and ensuring seamless delivery of the 'Deloitte Compensation' system as the single point of contact for four years. Successfully resolved long-standing (2+ years) bugs and process issues in key financial systems like Directors Profit Sharing and Overtime Reconciliation.

  • Led full lifecycle development (design, planning, development, testing, deployment) for diverse projects using Agile and Waterfall methodologies; developed and maintained a wide range of applications and interfaces using ABAP, HR ABAP, WebDynpro, RFCs, and REST APIs, consistently ensuring robust code quality through rigorous code reviews, unit, and integration testing.

  • Drove significant firm-wide process automation by designing and developing a custom WebDynpro tool that automated the entire employee promotion process, for which an 'Outstanding' award was received, garnered multiple other recognitions including Applause and Spot awards for project excellence and firm initiatives.

  • Entrusted with handling highly sensitive Personally Identifiable Information (PII) throughout numerous projects, maintaining a flawless record of security and data integrity; represented the organization at technical conferences (TechEds) and similar events.

Solutions Architect/Development Team Lead, Accenture India, Bangalore INDIA

Feb 2017-July 2018

Senior Developer, Deloitte LLP, Bangalore INDIA

June 2009-Jan 2017

TECHNICAL SKILLS

  • Programming Languages: Python, Julia, C++

  • Machine Learning & Data Science:

    • Frameworks & Libraries: PyTorch, NetworkX, Pandas, NumPy, Scikit-learn, Keras, Matplotlib, Seaborn

    • Techniques & Areas: Reinforcement Learning (RL) (including Q-Learning, Deep Q-Learning, Actor-Critic, C51, TRPO; and Gymnasium for RL environments), Graph Neural Networks (GNNs), Information Cascades, Network Science, Explainable AI (XAI), Evolutionary Algorithms, Exploratory Data Analysis (EDA), Feature Engineering, Data Wrangling.

  • Software, Tools & Platforms: SQL, Git & GitHub, LaTeX, Visual Paradigm.

  • Project Management & Collaboration Tools: JiRa, Taiga, TFS, HP PPM, HP Kintana, Resource Planner.

  • Syracuse University, Syracuse, NY, USA

  • Expected Graduation: May 2026

  • Dissertation Topic: "Multi-Source Diffusion in Evolving Adaptive Networks"

  • Advisors: Dr. Chilukuri K. Mohan and Dr. Sucheta Soundarajan

  • Courses Taken: Artificial Neural Networks, Reinforcement Learning for AI, Ubiquitous Learning, Machine Learning with Graphs, Network Science, Ethics of Machine Learning

  • Syracuse University, Syracuse, NY, USA

  • Award Date: May 2020

  • Courses Taken: Design and Analysis of Algorithms, Principals of Operating Systems, Computer Architecture, Introduction to AI, Object Oriented Design, Evolutionary Machine Learning, Analytical Data Mining, Machine Learning for Security

  • Directed development teams and collaborated with engagement managers, business analysts, and architects to deliver complex software projects on time and within budget, utilizing Agile methodologies for user story prioritization and client engagement for optimal solution design.

  • As Solutions Architect, designed and spearheaded the development of robust software solutions, including reusable code modules and critical APIs for multiple client teams. Notably, designed and delivered dev tool APIs for an S&P 500 client, supporting ~10 million weekly requests across ~35 sub-vendor platforms.

  • Led a delivery team in designing and implementing precise, high-stakes APIs for a major US Technology account, catering to their global customer data management needs across more than 30 distinct ecosystems; the project was successfully delivered on schedule with zero UAT defects.

  • Drove significant process improvements by identifying and implementing automation in testing and process delivery, reducing module onboarding time from 2 days to just 4 hours for a major US Telecom client.