Graduate Teaching Assistant

• Aug 2023 - Present

Graduate TA at the UMD iSchool GTA for INST335 (Organizations, Management and Teamwork) Course for Info Sci Undergraduate Program. Graduate TA at the UMD iSchool GTA for INST335 (Organizations, Management and Teamwork) Course for Info Sci Undergraduate Program.

Graduate Research Assistant

• Sep 2023 - Present

Software Developer

• Sep 2022 - Jul 2023

• Software Developer in the Customer Digital and Data Division (Barclays UK Tech Unit) for Barclays Mobile Banking team • Led cross-functional efforts for updates in Premier Upgrade and Marketing Preferences mini apps via the Cloud Adaptation Forum (CAF), enhancing user experience for a global customer base • Analyzed REST API migration from SOAP for the Account Servicing Mini app, resulting in a 25% reduction in response time and improved scalability • Refactored deprecated Java-Spring components, achieving a 30% reduction in code and increasing code coverage to 80% • Managed the successful CI/CD onboarding of Marketing Preferences and Savings Goals miniapps into the Barclays App pipeline using Jenkins, ensuring over 90% uptime for sanity testing through SIT environment pods Show less

Software Engineer

• Jan 2021 - Aug 2022

Software Engineer in the Salesforce Practice working on product development for a leading NBFC in India. Responsible for developing customized solutions within the Salesforce platform and creating dynamic and scalable Salesforce applications • Implemented new features across the product that impacts more than 1000 SME and Corporate loan applications monthly with loan amounts ranging from 10 Lacs INR to 1000 Lacs INR (or above) • Developed and managed API Integrations and Web Services • Developed validation rules, custom workflows, Aura Components, Apex customizations, custom objects, fields, and formulas. • Developed automation pipeline for various loan credit policies along with REST API integrations thereby reducing the man efforts by 100% through single button click. • Implemented code and query optimizations and reduced the overall SOQL query calls by 40% for DML Operations respecting governor limits and best coding practices in Salesforce. • Tech Stack: Salesforce, LWC, Aura, Apex, SOQL • Top Talent FY 2022 • Bravo Award, High-Performance Appreciation, Q1, 2022 • Bravo Award, Fast Learner and High-Performance Appreciation, Q4, 2021 Certified Salesforce Platform Developer 1 Show less

ML/MLOps Consultant

• Oct 2020 - Jan 2021

• Worked under Dr. Saurabh Mishra, former program manager at Human-Centered AI (HAI), Stanford University and developed Explainable AI for Time Series Models for BEA, BLS, US Unemployement Rate Forecast. • Developed classical ML classifiers models for predicting Public-Private Partnership Project Success/Failure with recall of 74.3% • Designed and developed landing page for the organization • Redesigned the product UI along with back-end and incorporated product analytics services to optimize performance, diagnose problems, and correlate customer activity. • 2021 UC Berkeley SkyDeck Pad-13 (Formerly Hotdesk) Incubator Member (Under TaiyōAI. Also participated in SkyDeck workshops). • 2021 NVIDIA Inception Member • Tech Stack: Python, ReactJS, Django, BulmaCSS Show less

Pad-13 Incubator Member

• Aug 2020 - Jan 2021

Part of UC Berkeley SkyDeck Startup Accelerator Program PAD-13 in Fall 2020 while working with Taiyō AI Inc. Part of UC Berkeley SkyDeck Startup Accelerator Program PAD-13 in Fall 2020 while working with Taiyō AI Inc.

AI Consultant

• Jun 2020 - Oct 2020

Worked on developing a multi-lingual generative model for the inhouse chatbot to address 2 problems: - overhead of support tickets - address farmer grievances Used GPT-2 (Generative Pre-trained Transformer) Small Trained on past support ticket and grievances conversation data using tokenizer and weights from pre-trained BERT. Developed a web-based proof of concept using Javascript, Django, MongoDB, and HTML-Bootstrap CSS. Worked on developing a multi-lingual generative model for the inhouse chatbot to address 2 problems: - overhead of support tickets - address farmer grievances Used GPT-2 (Generative Pre-trained Transformer) Small Trained on past support ticket and grievances conversation data using tokenizer and weights from pre-trained BERT. Developed a web-based proof of concept using Javascript, Django, MongoDB, and HTML-Bootstrap CSS.

Data Science Intern

• Sep 2019 - Nov 2019

At Crysagi Systems, now acquired by CoreView Systems, I had the opportunity to work under Dr. Satish Patil, Founder, Crysagi Systems, Chief Data Scientist, CoreView Systems and some of the brilliant minds at CoreView. Here I worked on: Opinion-based Question Answering over Financial Data: Converted extracted PDF data into SQuAD-format Built pipeline using machine learning models. Fine-tuned the model on the custom extracted SQuAD based data. Wrote a survey paper titled "Evolution of Techniques for Question Answering over Knowledge Base: A Survey" which is accepted and published in the International Journal of Computer Applications January 2020 Edition Show less

Data Science Intern

• Jun 2019 - Aug 2019

At CoreView Systems, I had the opportunity to work under the guidance of Mr. Makarand Vaidya, CEO , CoreView Systems Pvt. Ltd. DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using LSTMs to capture local and global semantic features for the task. At CoreView Systems, I had the opportunity to work under the guidance of Mr. Makarand Vaidya, CEO , CoreView Systems Pvt. Ltd. DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using LSTMs to capture local and global semantic features for the task.

Chairperson

• Aug 2017 - Aug 2019

Founder and Chairperson of PCCOER ACM Student Chapter, an ACM student association with over 200 active chapter members. Worked with a team of 50 individuals across the department and was responsible for developing and managing chapter programs and fulfilling the chapter’s obligations to the Association of Computing Machinery (ACM). Led and organized various events, workshops, seminars. Website: http://pccoer.acm.org/ Few Notable Activities conducted under my tenure: * Hosted Eminent Speaker Programs with notable speakers - Dr. R Venkateswaran, Senior Vice President, Persistent Systems Pvt. Ltd. Pune - Dr. Abhijat Vichare, Consultant - Mr. Vivek Kulkarni, Chief Architect, Persistent Systems Pvt. Ltd. Pune - Dr. Navin Kabra, Co-Founder, and CTO, ReliScore.com. * Led the organizatio of Seminars and Exhibition on "Atomic Energy For Peace, Power and Prosperity" under Bhabha Atomic Research Centre (BARC), India’s premier nuclear research facility with leading personnel delivering talks at the event: - Shri G.K. Pillai (MD & CEO , Walchandnagar Industries Ltd), - Shri R.S.Yadav (Advisor,Nuclear Business Walchandnagar Industries LTD and Former Director, Reactor Projects Group, BARC Mumbai), - Shri R.K. Singh( Head, Media Relations & Public Awareness Section,BARC,Mumbai), - Dr. D.P. Fulzele(Head PB&SMTS, NA&BTD, BARC), - Shri H.H. Simpi(Head,Hospital Radio Pharmacy Section, RMC,BARC, Mumbai) Show less

Machine Learning Intern

• Jun 2018 - Feb 2019

Machine Learning Intern News Articles Topic Modeling using LDA: Implemented generative probabilistic model for collections of discrete data: text corpora and automatically labeling the textual data. ◦ Used K-means Clustering, Random Forest Classifier, and Latent Dirichlet Allocation. ◦ Used numpy, nltk, pandas, matplotlib, gensim, sklearn ◦ Achieved an accuracy of 92.53% on UCI News Aggregator Dataset. https://github.com/ashishsalunkhe/News-Exploration-with-Python/blob/master/news_exploration_using_gensim_and_sklearn.ipynb Show less

Programmer

• Jun 2017 - Jun 2018

Built Autonomous and Manual RobotsWorked with a team of 6 programmersLanguages: Embedded C, PythonHardware devices: Arduino, Sensors, Actuators, Pneumatic Cylinders, and Rasberry PiUsed OpenCV, MATLAB, and SimulinkWorked on real-time object detection, tracking

Web Developer

• Jun 2017 - Mar 2018

Developed Official website of Team Robocon PCCOER