jajodiaraghav
Raghav Jajodia
Bengaluru, India

Staff Software Engineer @ KnowBe4 with over 7 years of professional experience working with MNCs like Goldman Sachs, and early stage startups such as Perpule (now Amazon) from ground up. Proficient in working with Large Language Models and Generative AI, HFT, AWS technologies, Databases and Kubernetes. Have significant experience in designing software systems for a wide variety of technology products. I consider myself to be tech-stack agnostic and agile in building backend and frontend applications.

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135.7
CodersRank Rank
Top 5%
Based on:
Stackoverflow 8 events
Highest experience points: 0 points,

0 activities in the last year

List your work history, including any contracts or internships
KnowBe4
Apr 2023 - Jul 2024 (1 year 3 months)
Bengaluru, Karnataka
Staff Software Engineer
• System design and implementation of scalable serverless microservices for SecurityCoach and AI products
• Implementing AI language model (LLM) driven services to build next generation of KnowBe4 products
• Achieved significant performance through code + architecture optimisation for several features/services
• Fine-tuning and hosting LLMs and other AI models in AWS SageMaker for domain specific use cases
AWS serverless
Goldman Sachs
Jul 2020 - Dec 2022 (2 years 5 months)
Bangalore Urban, Karnataka
Senior Software Consultant
• Development of the consumer banking platform for Goldman Sachs (CIMD) for US deposits vertical
• Implementation of highly scalable money movement flows for ACH(ODFI/RDFI), Wires (Domestic/International) and Internal (Savings/Checking) transfers
• Lead the impl. of several features like RDFI, Wires, Overdraft Protection, Agent Exception Review
• Working on microservices, impl. concurrency and asyncronization to significantly improve performance
Synup
May 2019 - Jun 2020 (1 year 1 month)
Bengaluru Area, India · On-site
Software Engineer
• Responsibility includes developing the SaaS product for clients across the globe.
• Backend in Rails, Apollo GraphQL, AWS Neptune, Python Flask, Frontend in React.js, Microservice deployment in Helm k8s
• Handling and scaling the "Locations" module for the Large Scale Enterprise customers in USA, UK, Australia and Europe
AWS Flask GraphQL Python ReactJS

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