- Evaluated and graded assignments, quizzes, and exams for the Computer Science & Engineering course CSE 511: Data Processing at Scale using Gradescope and Canvas services, ensuring timely and accurate feedback for over 500 students.- Provided prompt and effective resolution to student queries on Ed Discussion, fostering a supportive and interactive online learning environment for topics like AWS, Big Data Tools, Hadoop & Spark, SQL, Parallel Database System, Distributed Database system… Show more - Evaluated and graded assignments, quizzes, and exams for the Computer Science & Engineering course CSE 511: Data Processing at Scale using Gradescope and Canvas services, ensuring timely and accurate feedback for over 500 students.- Provided prompt and effective resolution to student queries on Ed Discussion, fostering a supportive and interactive online learning environment for topics like AWS, Big Data Tools, Hadoop & Spark, SQL, Parallel Database System, Distributed Database system, Transactions and Recovery, Concurrency Control, Data Storage and Indexing etc.- Collaborated with the course instructor and instructional designer to monitor and enhance the smooth operation of course services and online learning facilitation.- Assisted in the continuous improvement of course materials and delivery methods to optimize student learning experiences.- Developed and implemented automated testing scripts in Python to streamline the grading workflow for assignments, ensuring accuracy and efficiency in processing submissions Show less

Engineered a sophisticated knowledge retrieval chatbot system using LangChain, Pinecone, and OpenAI API, facilitating seamless access to Ashoka's extensive Fellow profiles, publications, and OKRs with a 90% accuracy rate.Leveraged the ReAct agent framework to create custom tools and integrated them into a multi-agent system, enhancing the retrieval capabilities and user experience, resulting in a 50% reduction in search time.Utilized Chainlit for developing an intuitive user interface… Show more Engineered a sophisticated knowledge retrieval chatbot system using LangChain, Pinecone, and OpenAI API, facilitating seamless access to Ashoka's extensive Fellow profiles, publications, and OKRs with a 90% accuracy rate.Leveraged the ReAct agent framework to create custom tools and integrated them into a multi-agent system, enhancing the retrieval capabilities and user experience, resulting in a 50% reduction in search time.Utilized Chainlit for developing an intuitive user interface, enabling dynamic and interactive user queries. Integrated ConversationBufferMemory to maintain context over sessions.Applied advanced metadata filtering techniques to streamline the search process across various data sources, ensuring the precise extraction of relevant information and sources from Ashoka's vector database. Show less

Designed service architecture workflows in collaboration with the cross-functional teams for 3 hospitals (clients) with approximately 150 new patient cases every day.Assisted in evaluating new features in addition to actively participating in the continuous development and improvement of specific areas of programs like patient reports dashboard, prescription management etc. utilizing C++, AWS Lambda & DynamoDBDeveloped complex SQL queries to build dynamic reports which help automate the… Show more Designed service architecture workflows in collaboration with the cross-functional teams for 3 hospitals (clients) with approximately 150 new patient cases every day.Assisted in evaluating new features in addition to actively participating in the continuous development and improvement of specific areas of programs like patient reports dashboard, prescription management etc. utilizing C++, AWS Lambda & DynamoDBDeveloped complex SQL queries to build dynamic reports which help automate the month end processes.Resolved several high-severity tickets during on-calls in collaboration with cross functional teams to mitigate customer impact, including a severity-1 ticket impacting 4 major clients.Improved the user interface by reducing the number of rows per page, emphasizing important fields, introducing options for CSV and PDF downloads, and expanding filter choices in the Reports & Prescriptions dashboard, all accomplished by using React. Show less

Contributed to the development of medium to large scale features within Exxat’s most critical service: medical educational management software, Exxat Prism.Received recognition for my exceptional effort in creating an analytics dashboard, employing graphs, tables and user forms using Angular, Angular Material, NgRX and JAVA. Improved branching strategy on GitHub to efficiently deploy services on Jenkins at the end of every Sprint (Agile).Proposed and built algorithms in Java to augment… Show more Contributed to the development of medium to large scale features within Exxat’s most critical service: medical educational management software, Exxat Prism.Received recognition for my exceptional effort in creating an analytics dashboard, employing graphs, tables and user forms using Angular, Angular Material, NgRX and JAVA. Improved branching strategy on GitHub to efficiently deploy services on Jenkins at the end of every Sprint (Agile).Proposed and built algorithms in Java to augment the matching process for medical students with universities/clinics for internship placements, facilitating expedited pairings of over 16,000 students with hospitals.Successfully resolved 8 high-severity tickets while working closely with teams from different departments to minimize disruptions. Show less

Made a Bitcoin Price Prediction Machine Learning Model for a Summer Internship at GCET. Used RNN-LSTM (Long Short-Term Memory) for the prediction. In addition, utilized data visualization to analyse the trends in bitcoin prices.

Pioneered a Python-based Face Recognition Attendance System for the State Governed Colleges and Industries.Deployed in 5 Government colleges and 1 Chemical industry, this system streamlines attendance through real-time face tracking (using AWS SQS, SNS and Lambda) and recognition using OpenCV, Face_recognition and PyQT for GUI.Programmed data storage in PostgreSQL, and conveniently designed a flow to add new excel sheets per lecture for professors in an existing directory.Learned… Show more Pioneered a Python-based Face Recognition Attendance System for the State Governed Colleges and Industries.Deployed in 5 Government colleges and 1 Chemical industry, this system streamlines attendance through real-time face tracking (using AWS SQS, SNS and Lambda) and recognition using OpenCV, Face_recognition and PyQT for GUI.Programmed data storage in PostgreSQL, and conveniently designed a flow to add new excel sheets per lecture for professors in an existing directory.Learned and implemented the React Framework in a short time to design the front-end, including super-admin, admin, and user interfaces, allowing for tracking of individual attendance data such as check-in/check-out times, dates attended in person, and more. Show less

- Conducted thorough assessments of data quality and completeness, ensuring data readiness for analysis.- Employed customer demographics and attributes to identify and target high-value customer segments.- Leveraged data visualization techniques to effectively communicate and present actionable insights.

- Spearheaded a research internship focused on assessing secured and efficient payment gateways in India.- Conducted research into the impact of COVID-19 on the growth of online payments in the country.- Carried out a comprehensive comparative study of various payment gateways in India, evaluating factors such as security, setup and maintenance costs, and processing times.

- Proficient in password-cracking techniques and cryptography principles through hands-on experience in a virtual program.- Applied best password practices to enhance digital security, including the successful analysis of a leaked password database.- Developed expertise in strengthening password security, contributing to robust cybersecurity practices.

- Successfully completed a coding internship focused on Sentiment Analysis using NLP libraries, including Natural Language Toolkit (NLTK).- Accomplished the main project objective of predicting sentiment for numerous movie reviews sourced from the Internet Movie Database (IMDb).- Attained commendable performance in the project, assessed by an AI engine.