Mar 2024 – Jun 2024 · 3 mos

• (Python, Custom Data Processing Framework, Batch Processing, Concurrency, Prometheus, Grafana)
• Developed a script to convert 3 million XML files to a Stata-compatible structured format for efficient analysis
• Engineered local servers to function like VMs, saving costs, and designed custom MapReduce to obtain full control
• Utilized batch processing and concurrency to enhance performance and compressed data size from 130GB to 50GB
• Employed Prometheus and Grafana for monitoring and identifying bottlenecks, maximizing CPU utilization to 97%

Dec 2023 – Mar 2024 · 3 mos · Seattle, Washington, United States · On-site

• Collaborated under the guidance of Dr. Ranjay Krishna at Raivn Lab to achieve a remarkable 90% enhancement in data collection speed for our current project funded by Microsoft.
• Implemented concurrent multithreading in Python, leveraging Google Cloud Platform's compute engine and storage services, including Docker for containerized deployments.
• Devised a model to generate captions and metadata for videos, utilizing natural language processing (NLP) algorithms and deep learning frameworks
• Employed advanced data preprocessing techniques to prepare the selected dataset for integration with LLM
• Utilized Elasticsearch, integrated with the ELK, to optimize search speed through the database
• Enhanced system efficiency through caching (Redis), query optimization (Apache Spark), and indexing (Apache Kafka)

Aug 2022 – May 2023 · 9 mos

• Led a team of 97 to successfully develop web-based projects with high customer satisfaction
• Provided mentorship to over 250+ students participating in a hackathon organised DJ Unicode
• Introduced 200+ students to web/app development by organising a 2 day Hackprep event under Unicode

Jul 2021 – Aug 2022 · 1 yr 1 mo

• Successfully managed two teams of 20 students each over a span of 6 months to build web and app projects from scratch
• Spearheaded the development of an automated interview portal, streamlining the interview process and reducing hiring time by 40%
• Directed the creation of a machine learning-driven Recipe Pool application, improving user engagement by 50% through personalized recipe recommendation

Aug 2020 – Jul 2021 · 11 mos

• Led the development of a Transcript Generation Portal, automating the processing of 1000+ images of results, resulting in a 50% reduction in transcript generation time.
• Utilized Django and OCR technology to streamline the generation process, achieving an accuracy rate of 98% in transcript generation.
• Implemented backend optimizations that led to a 30% increase in portal efficiency, enhancing overall user experience and satisfaction.

Jul 2022 – Nov 2022 · 4 mos · Mumbai, Maharashtra, India · Hybrid

• Probabilistic Graph Models (DJ19DSC5014)
• Prepared and graded assignments for 20+ students, offering constructive feedback to foster academic growth.
• Prepared 10 well-structured lab manuals with visually appealing diagrams, enhancing students’ understanding and learning outcomes
• Conducted lectures under the guidance of the faculty to solve doubts and assisted them in practicals
• Duties: doubt solving, reviewing course content, conducting practicals, drafting lab manuals, and improving student progress

Jun 2022 – Jul 2022 · 1 mo

• Developed utility using Java Swing and Poet to replace SOAP APIs with Java RESTful API, reducing codebase by 40%
• Developed another utility to automate Java - SQL code generation for CRUD operations using predefined templates
• Performed testing using Grafana and Prometheus and the utility reduced 1000+ development hours
• Authored and maintained detailed technical documentation, encompassing utility motivation, design, components, and operational instructions

Sep 2021 – Feb 2022 · 5 mos

• Implemented a robust data infrastructure using Matplotlib, Tableau, and SQL, enabling insightful analysis of KPIs
• Analyzed data of over 2500 monthly active users to streamline marketing and product strategies for optimal results
• Advanced conversion rates by 15 basis points and concurrently decreased churn rates by 10 basis points

Jan 2021 – Jul 2021 · 6 mos

• Engineered a scalable backend infrastructure using Django, Docker, and AWS accommodating a 500% increase in user load, enhancing user experience during peak usage times
• Conducted unit testing, identifying and rectifying issues early in the development process, leading to a 25% improvement in software stability

Nov 2020 – Aug 2021 · 9 mos

• Implemented a streamlined budgeting process, reducing discrepancies by 20% and enhancing budget accuracy
• Introduced automated financial reporting tools, saving 10 hours per week in manual data compilation and report generation

Nov 2020 – Aug 2021 · 9 mos

• Onboarded 4 companies for DJ ACM flagship event Internship fair
• Member of the organizing committee 24-hr hackathon event the LOC 3.0
• Enhanced website content and SEO strategies, resulting in a 40% growth in website traffic and a higher retention rate of visitors

Sep 2020 – Aug 2021 · 11 mos

• Machine learning club of D.J. Sanghvi that envisions expanding the ML community and
• learning at our institute.