Jun 2022 – Aug 2024 · 2 yrs 2 mos · Hyderabad, Telangana, India

• Leveraging Python and RESTful APIs within the LangChain framework, I spearheaded the design and implementation of LLM-powered chatbots that utilized the Retrieval Augmented Generation (RAG) methodology. This integration with AWS and Azure infrastructure yielded a remarkable 36.45% improvement in automated ticket resolutions.
• Working within an Agile methodology and utilizing Git for version control, led the integration efforts for implementing a scalable REST API within TNT (Take-Next-Ticket), a proprietary ticket management platform developed under the aegis of JP Morgan, as evidenced by the associated patent (Patent Link). This initiative expedited ticket routing and resolution processes.
• Utilizing Python, Flask, and REST APIs, pioneered the development of scalable microservices dedicated to internal link routing. The implementation of the Consistent Hashing Cyclic Algorithm within this project resulted in a notable 16% reduction in fault detection time, accompanied by a streamlined time complexity for issue resolution.
• Through collaboration with the JPMC ML Center, I orchestrated the deployment of diverse BERT-based REST APIs through the sophisticated ML Transformers pipelines, thereby augmenting the platform's machine learning capabilities.
• Harnessing the synergies of Docker and AWS Elastic Kubernetes Service (EKS), I engineered and automated Containerization pipelines for application deployment, ensuring seamless scalability and efficiency.
• Leveraging Terraform, part of Infrastructure Management endeavors, ensuring the robustness and scalability of the underlying architecture.
• Mentoring team members, I imparted insights into cloud technologies, architectural best practices, and fostered a culture of solution adoption to drive innovation and efficiency within the team.

Jan 2022 – May 2022 · 4 mos · Hyderabad, Telangana, India

• As a member of the JPMC HRS Research and Development (R&D) Team, I actively contributed to all phases of project development, including ideation, research, prototyping, and the migration of both web and machine learning applications. My role within this Agile cross-functional team involved collaboration with colleagues in both India and the USA, utilizing Git for version control.
• Spearheading the comprehensive testing initiative for machine learning and REST-based projects using PyTest, I achieved an impressive 97% code coverage. This endeavor required meticulous attention to detail and a deep understanding of test-driven development (TDD) methodologies.
• Playing a pivotal role in integrating our product with SONAR, I enhanced its capabilities and ensured its alignment with industry standards.
• Tackling a critical deployment challenge, I successfully containerized large-scale machine learning applications onto JPMC's internal Kubernetes service (GKP) and Kube platform. This task demanded a high level of expertise in containerization technologies and understanding of Kubernetes architecture.
• In addition to my hands-on contributions, I engaged in research and ideation activities focused on innovative R&D projects, exploring solutions utilizing Min-Max and Genetic Algorithm methodologies. This experience contributed valuable insights to the team's strategic initiatives.
• Expanding upon this experience with similar projects involving advanced algorithmic solutions and deployment strategies, I further honed my expertise in the intersection of software development, machine learning, and infrastructure management.

May 2021 – Jul 2021 · 2 mos · Mumbai, Maharashtra, India · Remote

• Architected and built a robust RESTful API leveraging Spring Boot and Spring Data JPA for dynamic query execution, achieving a significant 26% backend efficiency improvement.
• Collaborated in the design and implementation of a reusable frontend component for data acquisition, streamlining manual processes and accelerating development velocity. (Unit tested with JUnit 5)

Oct 2020 – Nov 2020 · 1 mo · Delhi, India · Remote

• Implemented secure user authentication APIs leveraging robust cryptographic protocols for user verification.
• Integrated API with React frontend, optimizing load times by 12% through performance tuning.