Feb 2026 – Present · 3 mos · San Francisco Bay Area · On-site

Aug 2025 – Dec 2025 · 4 mos

Aug 2025 – Dec 2025 · 4 mos

Dec 2024 – Jul 2025 · 7 mos

• Developed technical curriculum on AI for Engineering Management Masters students at Duke University Pratt School of Engineering.
• Assisted students in understanding complex AI concepts and prepared technical documents for course materials.
• Collaborated with faculty to ensure course content aligned with industry standards and trends.

Jul 2023 – Jul 2024 · 1 yr · Bengaluru, Karnataka, India

• Migrated big data reconciliation matching to our matching engine, which resulted in over in annual savings for the team.
• Acted as an Subject Matter Expert for the Apache Airflow component of the team ensuring tasks ran in an automated systemized format at a particular mentioned time without manual intervention.
• Designed and developed various Java and Python modules that were integrated into the reconciliation system.
• Migrated Oracle SQL queries over to PostgreSQL, to allow for easier integration with AWS Aurora Database.

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India

Aug 2022 – Dec 2022 · 4 mos

• Implemented 3 AI systems, one to recommend parts of SRS documents, one to recommend tags in videos and lastly
• one to recommend disaster tweet and documents.
• Integrated meta-heuristic optimization algorithms (Lightning Search, Lion’s Optimization) to compute similarity.
• Developed a Prolog-Agent, classified features using AdaBoost, and used semantic similarity to rank classes.
• Achieved accuracy, precision, and recall percentages over 95%.
• Worked on - IDTCKS: An Intelligent Integrative Approach for Disaster Tweet Classification and Disaster Related Document Classification using Knowledge Driven Hybrid Semantics

Mar 2022 – Jul 2022 · 4 mos

• Worked on multiple projects -
• 1) KCReqRec: A Knowledge Centric Approach for Semantically Inclined Requirement Recommendation with Microrequirement Mapping using Hybrid Learning Models
• 2) DTagRecPls: Diversification of Tag Recommendation for Videos using Preferential Learning and Semantics

Feb 2022 – Jun 2022 · 4 mos · Bengaluru, Karnataka, India

• Designed a novel system - SmartLawAnnotator - A Machine Learning-based Annotation Recommendation and Judgment Prediction Tool for Criminal Bail Applications, which aligns with India’s e-Courts initiative.
• Implemented over 6 Machine Learning and a Bi-LSTM model to perform text classification for various (3) parameters of an un-annotated dataset, to remove the need for manual annotation. Obtained 97% accuracy.
• Worked on - SmartLawAnnotator – A Machine Learning based Annotation Recommendation and Judgment Prediction Tool for Criminal Bail Applications
• Research paper accepted in the profound ADCIS ‘23 conference held by BITS Goa

Oct 2021 – Dec 2022 · 1 yr 2 mos

• As the software lead of the Frequency Club, RVCE I set up various team meeting and mentored students on basic concepts of python and ML. Along with this I reorganised the entire software skeleton of the club to help channel each student’s interest to particular projects in that domain.
• I was also a guest speaker at the Frequency club workshop in association with IEEE WIE called “Machine Learning and It’s Applications”
• Finally, I helped in setting the software entrance test that over 1000 students took to be a part of the club!

Sep 2020 – Oct 2021 · 1 yr 1 mo

Oct 2019 – Aug 2020 · 10 mos

Jul 2021 – Aug 2021 · 1 mo · Bengaluru, Karnataka, India

• Closely working with RBEI on their CSR requirements to help create some full-stack technology driven projects.
• Kept as the student incharge to hold interviews to create a team, create the entire design flow, choose stack and be the head of implementation.

Apr 2021 – Feb 2022 · 10 mos · Bangalore Urban, Karnataka, India

• Got a problem statement from Samsung Research Institute of Bangalore (SRI-B)
• Worked on an Utterance Recommendation System for Samsung Bixby with a team of students from my college along with 2 experienced faculty members and a Samsung professional from SRI-B.
• Received Certificate of Excellence for the work, which only a handful of teams get.

Apr 2021 – Jul 2021 · 3 mos

• Creating and Developing a website through MEVN stack which allows for deployment of Smart Legal Contracts between Tenant and Landlord.
• Technologies used - Nuxtjs, vuejs, google fire base api (auth & store), expressjs, cookies, git, gitlab, chat and video chat libraries.

Aug 2020 – Sep 2020 · 1 mo · Bengaluru, Karnataka, India

• I worked under 3 experienced professors and compared the results of a Machine Learning modal using the Naïve-Bayes Classifier to that of a Rule-Based Approach by using the famous AFINN-111 list created by Finn Årup Nielsen in sentimental analysis using natural language processing. I was also required to write a technical research paper on my findings.

Jul 2020 – Sep 2020 · 2 mos · Bengaluru, Karnataka, India

• Created an interior designing website using HTML5, CSS3, JavaScript, NodeJS, myPHP and Bootstrap4

Apr 2018 – Jan 2019 · 9 mos · Bengaluru, Karnataka, India