CV
Education
- Ph.D. in Computer Engineering, Virginia Tech, Blacksburg, VA, GPA: 3.85 (Expected: 2028)
Research Focus: Understanding interpretability and reasoning in LLMs - M.Tech. in Computer Science, National Institute of Technology, Rourkela IN, GPA: 8.94 (2010- 2012)
- B.E. in Information Technology, Walchand College of Engineering Sangli, India, GPA: 3.85 (2004 - 2008)
Professional Experience
- Software Engineer, Clarivate (June 2019- Jan 2022)
- Senior Project Engineer, Capital One (June 2017- Feb 2018)
- Senior Software Engineer, JetSynthesys (June 2015- Jan 2016)
- Software Engineer, Mobileum (May 2014- June 2015)
- Subject Matter Expert, Amdocs (June 2012- May 2014)
Research Experience
- Graduate Research Assistant, Virginia Tech, Blacksburg, VA (Aug 2024 - Present)
- Developing novel frameworks for complex sentence simplification for video gaming applications, by leveraging advancements in Large Language Models and multi-agent frameworks.
- Researching methodologies to simplify complex sentences by augmenting the instructional following capabilities of LLMs and innovative prompt engineering strategies.
- Research Assistant, National Institute of Technology Rourkela, India (Aug 2010 – Apr 2012) (Advisor: Dr. B. D. Sahoo)
- Proposed the robust resource allocation algorithm allocates resources that minimize the makespan and maximize the robustness in real time distributed environment.
- Software Engineer, Mobileum, India (Oct 2013 – June 2014)
- Explored and researched vairous algorithms for Diameter Routing Agents implementation for upgrading 3G to 4G network applications
Skills
- Machine Learning and AI: NLP, Generative AI, RAG systems, Transformers, LLMs
- Programming Languages: Python, C/C++, Java, Matlab, AngularJS, XML, Restful APIs, HTML
- Machine Learning Tools: Pytorch, Tensorflow, Sklearn, SpaCy, Pandas, Numpy
- Databases: Oracle 10/11g, MySQL, SQL Server
- Protocols: OSI, SS7, TCP/IP, Diameter, TCAP, SNMP, MAP and LTE
Publications
- A hybrid multi-agent prompting approach for sentence simplification(IEEE SWC, 2025):
- Developing novel frameworks for complex sentence simplification for video gaming applications, by leveraging advancements in Large Language Models and multi-agent frameworks.
- SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models(TACL, 2025):
- A new challenge benchmark for evaluating SEarch-Augmented Language models on fact seeking questions where web search yields conflicting, noisy, or unhelpful results.
- Evaluating robustness of resource allocation in uniprocessor real time system (IJCA, 2012):
- Proposed the robust resource allocation algorithm allocates resources that minimize the makespan and maximize the robustness in real time distributed environment.
- Robust resource allocation algorithms in real time distributed system- robust resource allocation techniques (LAP LAMBERT Academic Publishing 2012)
Teaching
- Graduate Teaching Assistant, Virginia Tech (2024 - Present):
- Data Structures and Algorithms (ECE3514)
- Software System Design (ECE3574)
- Graduate Teaching Assistant, NIT Rourkela (2010 - 2012):
- Lecturer, Walchand College of Engineering Sangli (2009 - 2010):
- Operating Systems
- Database Systems
- Lecturer, VIT Pune (2008 - 2008):
