Gautham Mani Email & Phone Number

Emeryville, California, United States

- Enhanced Advanced Discovery Applications for next-gen entertainment services by leveraging metadata and big data technologies, accelerating performance, and improving content search, discovery, recommendation, and metadata management for Gracenote's customers around the world- Built and optimized ETL data pipelines using Python, Hadoop, Spark, Airflow, and infrastructure in AWS to enhance scalability and improve data quality by 11%, ensuring timely & accessible data used by teams for content recognition, advertising, and marketing.- Analyzed the taxonomy update process and created a utility that generates reports containing data metrics, visualizations, and errors for both technical & non-technical personnel reducing the overall update process time by up to 50%- Implemented Kafka-based data stream processing services with automated error handling, reducing manual intervention time by 40% for task resolution. - Successfully migrated projects to GitLab, containerized them using Docker, and transitioned deployment automation pipelines from Jenkins to GitLab-CI improving portability and scalability while providing an all-in-one solution- Ensured best practices through code reviews, unit testing, and active contributions to new feature specifications and business logic development for innovative web applications- Leveraged cloud computing services such as AWS EC2, S3, RDS, Glue, Lambda, Grafana, Athena, etc. for efficient resource management and improved performance- Designed, developed, and maintained robust, scalable Full-Stack applications and APIs, using REST architecture, Java, Spring-Boot framework, and consuming RESTful web services with MyBatis as the persistence framework.- Streamlined and improved the frontend application with React Hooks for intuitive state and lifecycle management

Berkeley, California, United States

- Developed features and maintained BOOST, a robust and powerful DNA/RNA Bioinformatics sequencing tool utilized by Research Scientists for the analysis and processing of sequencing data- Spearheaded the development & integration of the Hierarchical Yeast Assembly feature that uses the similarity score to determine if Hierarchical Yeast Assembly can be performed on the large dataset of DNA and vector sequences, reducing overall analysis time for feasibility check- Implemented a high-performance string comparison algorithm on Berkeley Lab's HPC Cluster, reducing runtime by 12% for calculating Similarity scores within/between subsequences- Engineered concurrent task modules capable of efficiently handling large datasets, enabling precise determination of similarity measures in DNA sequences- Revamped BOOST web UI for enhanced interactivity and user-friendliness, creating a more intuitive experience- Optimized database schema eliminating redundancy and leveraged Hibernate for improved data storage efficiency & query performance

Riverside, California, United States

Conducted an in-depth analysis of 15 research papers, under the guidance of Prof.Vagelis Papalexakis, focused on Neural Architecture Search (NAS), published across diverse conferences. Compiled a comprehensive survey report that elucidates emerging trends in NAS and their targeted problem-solving applications.

Irvine, California, United States

- Developed an Investor Relations Recommendation ML Model to recommend highly similar companies in a dynamic startup environment- Collaborated closely with the CEO to meticulously plan, design, and execute the project, demonstrating ownership and accountability for its successful implementation from start to finish- Led end-to-end development, encompassing crucial tasks such as data crawling, robust ETL pipelines, feature definition, and the creation of intuitive API and GUI interfaces as the sole member- Crawled websites to extract data about companies related to esports using Scrapy, Selenium- Applied data pre-processing techniques and built Extract. Transform, Load(ETL) data pipeline to extract useful features from the data using Python/R- Provided proof of concept models using Gower Similarity, Regression Analysis, Cosine Similarity, Random Forest, Ensemble, Neural Network, etc. to determine the best ML model- Leveraged the Gower Similarity Coefficient to develop an ML model that recommended similar companies, enabling users to make informed decisions- Visualized data and results using tools like MS Excel and Tableau, extracting valuable insights and creating insightful analytical reports to support decision-making- Built an API and user-friendly GUI to seamlessly integrate the ML model into the company's website, enabling effortless usage by both technical and non-technical users

Riverside, California

Introduction to Computer Programming – Taught students from non-technical field programming using MIT App-InventorIntroduction to Computing – Evaluated and taught courses involving the basics of internet technologies

Bengaluru Area, India

- Developed and integrated front-end and back-end components using RESTful services in an agile environment- Enhanced reusability by 45% through the development of multiple variations of front-end components, surpassing client expectations- Translated client requirements into software design and functional specifications, ensuring comprehensive understanding and effective transformation- Implemented UI designs and software functionalities for websites, prioritizing modularity and independence of components which enabled the data pipelines for two or more components to function seamlessly - Conducted thorough unit testing to ensure code cleanliness, adherence to best practices, and compatibility across browsers and devices Sites co-created: http://www.kellogg.northwestern.edu/, http://www.saga.co.uk/, https://www.naturesbounty.com/, https://www.allianzgi.com/

Postgraduate Diploma, Big Data Technologies/Statistics

Master Of Science - Ms, Computer Science

Bachelor Of Technology (B.Tech.), Information Technology

Pre-University, Pcmc

Education record