Background & experience
CV
Timeline
2020 — Aug 2026
PhD Candidate, Computer Science & Engineering
Syracuse University, Syracuse NY
- Dissertation: "Bilevel Optimization on Large Scale Non-Convex, Constrained Combinatorial Problems"
- Advisors: Dr. Chilukuri K. Mohan & Dr. Venkata Gandikota
- Developed surrogate-assisted co-evolutionary framework achieving >96% computation cost reduction
- Published at AAAI SSS 2026, ECTA 2025; 3 papers under review at KDD, FUSION
- Summer 2024: Research Intern at Air Force Research Laboratory (AFRL), Rome NY
- Teaching Assistant across 6 graduate/undergraduate courses (2020–2026)
- Primary Instructor, CPS196: Introduction to Programming with Python (Fall 2023)
2018 — 2020
Master of Science, Computer Science
Syracuse University, Syracuse NY
- GRA collaboration with ComScore & Newhouse School — ad retention ML models, 80%+ accuracy
- BEA Conference publications (2020, 2021); ARF Audience xScience (2020)
- Courses: Artificial Neural Networks, Reinforcement Learning, Network Science, Machine Learning with Graphs
Feb 2017 — Jul 2018
Solutions Architect / Development Team Lead
Accenture India, Bangalore
- Designed and led development of APIs for S&P 500 client supporting ~10M weekly requests across ~35 sub-vendor platforms
- Delivered global customer data management APIs for major US Technology account across 30+ distinct ecosystems with zero UAT defects
- Automated module onboarding reducing cycle from 2 days to 4 hours for major US Telecom client
Jun 2009 — Jan 2017
Senior Developer
Deloitte LLP, Bangalore
- SME for Deloitte Compensation system — sole point of contact for 4+ years; resolved 2+ year legacy production bugs
- Led Agile delivery across full development lifecycle; designed WebDynpro automation tool for employee promotions (Outstanding Award)
- Handled PII-sensitive financial systems: Directors Profit Sharing, Overtime Reconciliation
- Multiple SPOT Awards, Applause Awards, Best Networking Analyst recognition
2005 — 2009
Bachelor of Engineering, Computer Science
SJCE Mysore / Visveswaraya Technological University, India
- NTSE Scholar (National Talent Search Examination) — national scholarship for undergraduate education
- 4th Rank, Infosys Mathematics Olympiad (Pan-India, 2005)
- 1st Prize, IBM Virtualization Contest, NIE Mysore (2008)
Skills
Optimization & EA
Bilevel OptimizationEvolutionary AlgorithmsGenetic AlgorithmsSurrogate ModelingCoevolutionMeta-modeling
ML & Deep Learning
PyTorchTensorFlowScikit-learnKerasReinforcement LearningDeep Q-NetworksActor-Critic (SAC)
Graph & Networks
Graph Neural NetworksNetworkXnode2vecNetwork ScienceInformation CascadesLouvain Communities
Explainable AI
Fuzzy Logic (TSK)FuzzyKBXAIRule ExtractionInterpretable ML
Programming
PythonJuliaC++SAP ABAPSQL
Tools & Platforms
Git / GitHubLaTeXGymnasiumJiraVisual ParadigmPandasNumPyMatplotlib