Ratish Jha Email and Phone Number
=> Single Zero Downtime Deployment: Streamlined Deployment Across Platforms: Successfully identified a common framework in the deployment process for various applications hosted on both On-prem Data Centers and AWS cloud in different regions. This strategic identification streamlined operations, enhancing consistency and efficiency in deployment across diverse hosting environments. Innovated Zero-Downtime Deployment Strategy: Developed and implemented a deployment process for small patches during working hours that required zero downtime. This involved meticulous handling of sticky sessions and other complexities, utilizing a blend of automated and manual checks. If a health check failed, deployment would be halted to the next set of servers. This innovative approach allowed for rapid delivery of quick fixes without disrupting service, greatly improving operational agility and customer experience.=> Enhancing Large Language Models Knowledge: Embraced New Challenges in Machine Learning: Proactively ventured into the complex field of Deep Learning models during graduate studies, demonstrating a strong commitment to continuous learning and skill development in cutting-edge technologies. Innovative Application of DistillBert Model: Successfully fine-tuned a DistillBert model to analyze accident descriptions from Autonomous Vehicle Collision Reports provided by the California DMV. This project showcased the ability to determine fault in accidents, either by the driver or the vehicle's autonomous system, enhancing understanding of autonomous vehicle safety. Developing Advanced Genomic Analysis Tool: Currently engaged in the development of the LookingGlass 2.0 model, a BERT-based Large Language Model pre-trained on Masked Genome Sequences. This model is being fine-tuned to function as a classifier for protein sequences, potentially revolutionizing the approach to genomic research and protein sequence analysis.=> Distributed Systems: Expanding Skills in Application Development: Embraced the challenge of Java development as a Graduate Student, seizing the opportunity to build a "Consistent Hashing System for Distributed Application". This project was a significant learning experience, mastering two major concepts in application development: Socket Programming and Multi-Threaded applications. This endeavor not only expanded personal technical skillset but also added valuable expertise in complex application development.
Aude.Ai
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Fullstack Software EngineerAude.Ai Sep 2024 - PresentSeattle, Wa, Us• Building NodeJS Integration applications for processing company wide employee performance data by analyzing developer merges and commits• Integrated the Integration application with Core internal apps, keeping optimized micro service architecture • Working on RAG systems using ChromaDB as VectorDB for adding Data backed context in the Prompts for user efficiency evaluation• Innovating new ideas to add features to the Bot assisted employee performance evaluation• Architected and optimized the AWS Infrastructure to add security layer and increase cost efficiency -
Ml DeveloperThe University Of Georgia Aug 2022 - May 2024Athens, Ga, Us• Trained RoBERTA LLM model for Advancing Genomic Analysis, on more than 11M DNA sequences• Increased the efficiency of the Pre-Trained Model by 17% on the LookingGlass v1.0• Finetuned model on GPU Cluster achieving 97% Precision on Downstream Functions• Applied robust MLOps practices to streamline LLM automated testing• Implementing Transfer Learning on Downstream tasks, achieved 97% hierarchical precision• Published paper "Benchmark Dataset for Multimodal Prediction of Enzymatic Function Coupling DNA Sequences and Natural Language" -
Software Engineer - DevopsZycus Jul 2019 - Jul 2022Princeton, Nj, Us• Built Python application to be used for Configurations across multiple products reducing management time by 70%• Engineered application pipelines with a combination of Python, Shell Script, Ansible, Jenkins achieving ZERO downtime deployment• Bridging between External services and internal application by architecting API Gateway+Lambda for building Python services, improving API security and access time less than 3 sec• Designed Content migration application to upload and migrate content on S3 buckets across regions globally , accelerating migration speed by 27%• Upgraded API redirection for 100s of services using ALB in a newly created production environment to enhance efficiency• Automated installations and upgrade of Jenkins, GitLab on EC2, EBS servers for Integration with CI/CD pipelines on different regions keeping uptime greater than 95%• Boosted Continuous Integration process for ML applications leading to a 30% increase in operational efficiency and faster innovation cycles• Streamlined 50+ Products Deployment by conducting a Proof of Concept with AWS CodePipeline enhanced deployment efficiency by 15% and resolved performance bottlenecks for over 50 products, ensuring compliance with organizational standards
Ratish Jha Education Details
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The University Of GeorgiaComputer Science -
Mct'S Rajiv Gandhi Institute Of TechnologyComputer Engineering
Frequently Asked Questions about Ratish Jha
What company does Ratish Jha work for?
Ratish Jha works for Aude.ai
What is Ratish Jha's role at the current company?
Ratish Jha's current role is Fullstack Software Engineer | Software Engineer | DevOps Engineer | ML Engineer | SWE | SDE | Software Developer.
What schools did Ratish Jha attend?
Ratish Jha attended The University Of Georgia, Mct's Rajiv Gandhi Institute Of Technology.
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