Somasekhar Patil Email & Phone Number

Fairfax, Va, Us

Mclean, Virginia, United States

Created an automated data generation pipeline for immigration fillable PDF forms by evaluating and leveraging complex large-language modelsIntegrated Langchain chatbot with data pipeline and improved overall efficiency with LLM techniques such as Retrieval-Augmented Generation (RAG)Designed and prototyped a revamped web application with React frontend and FastAPI backend for all external immigration-related use cases

Berkeley, California, United States

Provided teaching support for 600 students in Berkeley's Intro to AI through student-led office hours and Q+A on the class Ed forumCovered AI topics such as Search Algorithms, Reinforcement Learning, and fundamentals of Machine Learning throughout the curriculumGraded homework, exams, and other assignments for all students as a dedicated Reader

Berkeley, California, United States

Developed a project timeline/proposal for the migration of the internally built Lab request module to Microsoft Cloud technologiesProvided clients with clear updates and tangible deliverables, while providing key technical support for student developers with the Microsoft SharePoint and Powerapps platformExtended the project scope further to migrate another Graphics request module to the same platform, providing a seamless transition for internal users

Berkeley, California, United States

Develop and implement a strategic plan for the club, working in collaboration with the executive teamIdentify and gather potential clients and partnerships that align with the club's mission and visionWork closely with the Treasurer to ensure that the club's finances are managed appropriately and transparently

Berkeley, California, United States

Leading a team of 7 student engineers to develop a fan ticketing application at the high school levelConduct code reviews and oversee/manage the overall project timeline to ensure timely updates and deliverables for the clientDesigned app/page layouts with Figma, developed mobile frontend screens with React Native, and connected to Firebase backend for services such as Cloud Firestore (No SQL) and Authentication

Prepared a data pipeline that segments into sizeable sections for analysis using Apache KafkaDeveloped Python baseline comparison algorithms such as moving average for detecting anomalieswithin collected user traffic dataCreated React and Flask-based web app that visualizes detection results for internal usage

Developed a real-time OpenCV system that extracts key facial features such as head tilt and eyeblack/white ratio for further algorithmic processingBuilt a numeric neural network with DeepLearning4j that takes in extracted features and predictswhether a driver is focused or even slightly distracted on the roadPorted CV system and neural network into a working Android app with Java and Android Studio

Herndon, Virginia, United States

Designed and iterated over data-driven metric dashboards using Grafana and PostgresSQLBuilt new efficiency calculations using PySpark and supported the assessment of tens ofthousands of battery racks simultaneously by parallelizing over a Google Cloud Dataproc ClusterLeveraged Python-based Requests/urllib3 modules to access internal APIs containing individualpower plant metadata to create more accurate readings of a customer’s specific site informationFacilitated the end-to-end process including ingesting raw battery data into Google BigQuery,implementing metrics, writing results to PostgresSQL, and displaying system reports in Grafana

Boston, Massachusetts, United States

Researched and identified viable attributes/indicators for a variety of healthcare-related use casesfrom the Truven Health Claims DatabaseAnalyzed the correlated relationship between actuarial value and consumer total healthcarespending using SQL data, processed and visualized using Pandas and SeabornModeled family-level healthcare costs in AWS Sagemaker with raw data extracted from Snowflake

Automated app deployment on Google Play Store and Apple App Store with FastlaneDeveloped comprehensive UI Tests with Appium, scaled to mass testing with AWS Device FarmTrained a trucker-to-load recommender in AWS Sagemaker with SQL/Pandas extracted data

Bachelor Of Arts - Ba, Computer Science And Economics

High School Diploma

Activities and Societies: Intermediate Computer Team (Co-Captain), Code++ (Vice President), Simulations Club (Founder/Treasurer)