Shobhit V. Email & Phone Number

Austin, TX, US

Remote

• Built custom AI agents using LangChain in Azure AI studio for a client application trained on OpenAI’s text embeddings and Mistral-7B large language model for generation achieving 90% accuracy in providing relevant.
• Created a Azure Cognitive Search based vector index to store and quantize 1 TB of unstructured data for document retrieval;
• Built a MLOps pipeline in Azure ML using Prompt Flow for automating LLM training and testing stages, reducing training cost by 50%;
• Set up a pipeline to collect production inference data using Azure ML Data collector for tracking model performance;

Seattle, Washington, United States

• Guided 100+ students in mastering Python libraries (scikit-learn, pandas, numpy) through hands-on projects and assignments by providing personalized tutoring sessions in undergraduate and graduate Computer Science.
• Assisted student learning in advanced topics like statistical inference, algorithms, implementing data structures in Java and Python, and database systems for 100+ students, facilitating a 20% increase in class average.

Seattle, Washington, United States

• Shipped a consolidated monitoring system for Amazon warehouses across North America to increase operational efficiency by 30% using React, TypeScript, Flask, and PostgreSQL;
• Built an extract, transform, load (ETL) pipeline with AWS Redshift and Glue, improving data integration efficiency by 30%;
• Reduced response times to malfunctions by 20% with real-time monitoring AWS Quicksight dashboards;
• Streamlined data extraction from SQL tables in AWS RDS using REST APIs written in Python;
• Deployed the monitoring system on AWS EC2 to ensure the system can scale to 100,000 users across 200 warehouses;

Atlanta, Georgia, United States

• Reduced factory machine downtime by 50% by training a convolutional neural network model in PyTorch for anomaly detection;
• Optimized A/B testing cycle time by 40% using a CI/CD deployment pipeline built using Azure DevOps, Apache Spark, Spark SQL;
• Enhanced operational efficiency by 60% by deploying a web application to Azure developed using Express.js, MongoDB, Next.js and JavaScript to replace the existing legacy data analytics system;

Seattle, Washington, United States

Seattle, Washington, United States

• Prepared and served a diverse selection of 20 menu items, ensuring each dish met high standards of quality and presentation while providing friendly and efficient service to customers;
• Processed 150 transactions daily at the cash counter, handling customer inquiries and payments with accuracy and a focus on delivering a positive customer experience;
• Prepared 30 different ingredients for daily dishes, adhering to food safety protocols and contributing to the overall efficiency and success of kitchen operations;

Seattle, Washington, United States

• Managed and conducted 40 comprehensive tours for prospective students on Admitted Student Day, highlighting key features and benefits of the campus facilities to enhance their decision-making process;
• Served as an engaging and knowledgeable tour guide during the Spring '23 quarter, showcasing the unique advantages of the campus environment to prospective students and their families;
• Toured 300 parents of incoming students around both North and West Campus dorms, effectively promoting the exceptional living accommodations and fostering a positive impression of campus life;

Mumbai, Maharashtra, India

• Utilized Salesforce Marketing Cloud to track and analyze digital marketing campaign performance, optimizing strategies for a 15% increase in event registration and engagement;
• Spearheaded registration operations on the inaugural day of the 9th Films and Flexible Packaging Global Summit 2022, ensuring efficient handling of 2000 delegate sign-ups and overseeing the distribution of essential.
• Created marketing materials and handled social media platforms for the summit, increasing traffic by 20% on Instagram and Tiktok;

Mumbai, Maharashtra, India

• Collaborated with professor Ghane on the project AgroUltraPro, an application for crop selection using features like soil condition, region and area to maximize profit.
• Designed and developed a web application that serves as a marketplace for buyers (wholesalers) and sellers (farmers) of crops.
• Conducted in-field research work to identify the pain points of Indian farmers, their working conditions and analyzed the farm-to-market cycle in the Indian agricultural sector.

Mumbai, Maharashtra, India

• Facilitated engaging and interactive learning experiences as a C.S. TA, guiding a class of 80 undergraduate students through programming courses in both R and Python, fostering a collaborative and supportive.
• Conducted code reviews and delivered lucid explanations of complex programming concepts, contributing to the academic success of students in the Computer Science program
• Checked exam papers, practical submissions and designed theory material for the courses Introduction to Programming using C, Statistical Analysis using Python and Theoretical Computer Science

Mumbai, Maharashtra, India

• Launched the committee's first flagship project - Project Prithvi, aimed to reduce plastic by replacing it with eco-friendly alternatives like bamboo. Successfully reduced plastic usage on campus by 25%.
• Collaborated with 2 start-ups: Stree Style and Bamboo India to sell their products in Mumbai to promote sustainable living. Sold 250 products through digital marketing on social media platforms.

Mumbai, Maharashtra, India

• Lead the selection process of the CSI subcommittee for the academic year 2019-20, selecting 15 students out of 180 applicants.
• Managed the public relations campaign for the 2020 CSI All-India Hackathon, securing the participation of over 200 teams.
• Recruited 105 members for CSI, and increased the followers of CSI pages on Instagram and LinkedIn by 30%.

Mumbai, Maharashtra, India

• Developed a recommendation system by leveraging collaborative filtering algorithms based on natural language processing techniques resulting in a 15% boost in overall sales on the FreshConnect platform;
• Deployed the web application to Google Cloud Platform ensuring optimal performance during peak loads without manual intervention which led to a 30% increase in system responsiveness and customer satisfaction;
• Created interactive dashboards in Tableau to visualize sales and logistics data, providing real-time insights that improved produce handling and reduced spoilage rates by 12%;
• Reduced deployment failures and downtime by 20% by implementing automated containerization with Docker and Kubernetes;

Education record

B. Tech, Computer Science

Relevant Coursework: Database Management Systems, Web Technologies, Object Oriented Programming, Advanced Data Structures, Design and.

Education record

Master Of Science - Ms, Information Management, 3.9

Coursework: • Deep Learning • Data Science I - Theoretical Foundations • Data Science II - Machine Learning and Econometrics • Data.