whoami

Shashank C M @shashankcm

# I am a full stack developer enthuised by the AI revolution

$ echo "88.8% Name call detection accuracy — within a conversation range"

# previously at Amazon, Abbott

Backend engineer with 6+ years of experience building distributed systems and cloud-native microservices at scale. My foundation is in high-traffic production architecture — payment systems serving millions of users, compliance-grade APIs, and zero-downtime CI/CD pipelines. Over the past year I've deliberately shifted toward AI-native backend engineering: building platforms where LLM capabilities are infrastructure-layer components, not UI features. I treat AI tooling as an engineering multiplier and I'm most energized building the serving layers that enable AI-driven user experiences to work reliably at scale.

$ export STATUS="available" → contact

ls -la projects/

# The Portfolio-Website-Builder is a robust application designed to streamline the creation of personalized portfolio websites. By leveraging AI-assisted features and a user-friendly interface, it empowers users to showcase their skills effectively.
drwxr-xr-xAADI/5t
# AADI is a microservice-based project designed to enhance order management through innovative features such as geofencing and capacity awareness. The project leverages a robust tech stack, including JavaScript, TypeScript, and Python, to deliver a seamless experience across customer and admin portals.
drwxr-xr-xAdaptiveNPC/3t
# AdaptiveNPC is an innovative project that enhances player interaction through intelligent NPC behavior. By leveraging advanced memory and pattern recognition systems, it creates a more immersive gaming experience.
drwxr-xr-xVisionAPI/2t
# VisionAPI is a streamlined software project developed entirely in Python, designed with a monolithic architecture. Its simplicity allows for quick deployment and easy maintenance, making it a valuable asset for teams looking to implement efficient solutions.
drwxr-xr-xHear-It/3t
# Hear-It is a mobile application designed to enhance communication for the hearing impaired and deaf individuals. It features keyword recognition and social communication tools, significantly improving user interaction and response times.
# The Two-pass-assembler-loader project is a streamlined solution implemented entirely in Python, designed to efficiently assemble and load code. Its monolithic architecture ensures simplicity and ease of deployment, making it a valuable tool for developers.

→ ls projects/ (10)