Rakesh Kumar

About Rakesh Kumar

I am a results-driven Software Developer with a proven track record of over 5+ years in the dynamic world of software engineering. My passion lies in designing and building large-scale, mission-critical software applications that not only meet today\'s demands but also anticipate tomorrow\'s challenges. I thrive on transforming complex problems into elegant, scalable solutions, and I\'m always eager to embrace emerging technologies and methodologies.

Experience

1. Lead Founding Engineer

   Oculon.Ai

   Jan 2025 — Present · US

   Driving Innovation in AI-Powered(Agents) Financial Planning and Assesment SaaS-=> As a key architect and leader in the development of Oculon.ai\'s groundbreaking AI-driven financial planning and assessment SaaS platform, I\'ve been instrumental in building a highly scalable and intelligent system. This includes the design and optimization of high-performance backend APIs (RESTful and gRPC) using Python (leveraging libraries like NumPy, Pandas, and potentially scikit-learn/TensorFlow/PyTorch) and advanced algorithms to power efficient financial planning models. A strong emphasis has been placed on fine-tuning these models based on evolving requirements to ensure optimal accuracy and relevance. Security and performance are paramount in the architectural design.1. I\'ve driven the development and maintenance of a significant codebase with a focus on seamless CI/CD integration and robust connectivity with Azure cloud services, particularly Azure Data Factory for streamlined data pipelines feeding our AI models. My commitment to code excellence includes the implementation of rigorous automated testing frameworks using Python (pytest, unittest) and shell scripting to automate operational tasks and accelerate development cycles. My responsibilities encompass the design of both relational (SQL Server) and graph-based (GraphQL) database schemas, optimized for efficient data storage and retrieval to support our AI-driven analytics. I\'ve implemented complex business logic with optimized data structures, ensuring the platform delivers low-latency, high-throughput operations within a distributed microservices architecture that underpins our intelligent financial planning capabilities.

Education

• University of Hyderabad

  Master of Technology - MTech, Computer Science

  2018 — 2020

• National Institute of Technology , Patna

  Bachelor of Technology (B.Tech.), Computer Science and Engineering

  2014 — 2018