Sreemannarayana Ikkurthi

Software Engineer

Sreemannarayana Ikkurthi

Summary

Founding Engineer and Core Member of Technical Staff with extensive experience in architecting scalable backend systems, microservices, and Generative AI solutions. Proven track record of building 0-1 products, integrating LLMs, and leading technical initiatives. Proficient in Golang, Python,TypeScript, and Cloud Native technologies, with a strong focus on high-performance computing and system reliability.

Technical Skills

Generative AILLMsSystem ArchitectureCloud NativeRustTypeScriptNode.jsPythonGoReactKubernetesTemporalGraphQLMongoDBTailwindCSSGit

Experience

Founding Engineer

2024 - Present
Neurofin.ai

Founding Engineer responsible for bridging engineering and product requirements. Architecting and building functional, scalable GenAI-driven systems from the ground up.

System ArchitectureFull StackProduct Engineering

MTS - 2 (Software)

2021 - 2024
Bolt.Earth

Core member of technical staff. Architected backend APIs for EV chargers (OCPP/OCPI) including discovery, booking, and OTA updates. Developed wallet and payment services. Recognized with 'Super Star Award' for exceptional quarter performance.

TypeScriptNode.jsTemporalKubernetesMicroservices

Software Engineering Intern

2021
REVOS (now Bolt.Earth)

Interned at REVOS, contributing to the early development of EV charging infrastructure and gaining hands-on experience with backend systems.

Backend DevelopmentEV Infrastructure

Design Intern

2020
Space Technology and Aeronautical Rocketry (STAR)

Worked as a designer for a mini rocket motor static test pad. Designed a Static Test Pad capable of accommodating various high-powered rocket motors.

Mechanical DesignRocket PropulsionTest Systems

Aerospace Engineering Student

2016 - 2020
Amrita Vishwa Vidyapeetham

Specialized in Multidisciplinary Design Optimization (MDO). Applied computational methods to solve complex engineering problems.

MATLABPythonOptimizationXFOIL

Projects

Genetic Algorithm Optimization - Python

View Code

Python implementation of Genetic Algorithm for multi-variable function optimization with contour plot visualization. Developed for MDO course.

Airfoil Analysis - Python

View Code

Analyse any airfoil from UIUC database in xfoil and obtain results. Python-based numerical analysis tool.