Hi, I'm Akash.
I build scalable backends and GenAI-powered platforms.
Based in Gurugram, India. Passionate about engineering scalable systems and translating complex ideas into impactful real-world products.
/about-me
Hello, I'm Akash!
I am a Software Engineer specializing in backend development, with expertise in building low-latency, event-driven microservices and AI-powered platforms.
Expertise in Python, GenAI, FastAPI, and PostgreSQL, etc. I have hands-on experience designing scalable architectures. My notable projects include a Real-time Interview Co-pilot, a Real-time AI Voice Agent, and CodeRunr—a highly scalable and robust online code execution engine.
{
"name": "Akash Kanaujiya",
"role": "Backend & AI Engineer",
"base": "Gurugram, India",
"passions": [
"Microservices",
"Distributed Systems",
"AI Agents",
"Agentic Workflow"
],
"status": "Building & Learning"
}/experience
Software Engineer I
HashedIn by Deloitte- Led the backend design and development of a Real-time Interview Co-pilot (supports the features such as realtime code editor, realtime voice analysis, realtime whiteboard, etc.), streamlining the interview process by providing real-time insights and candidate analytics. This reduced interviewer effort by 75% and improved decision-making quality by minimizing bias. Engineered an independently scalable microservices architecture on AWS, leveraging Redis Pub/Sub and Redis Streams to seamlessly scale WebSocket connections for event streaming.
- Engineered a AI-powered Screening Agent that autonomously evaluates candidates against job criteria and delivers actionable feedback to recruiters. Agent intract with candidate in realtime using voice and ask series of questions to evaluate them, and generate a detailed report. This significantly reduced manual screening effort and improved recruitment efficiency by 60%.
- Developed a RAG-based employee support chatbot, optimizing retrieval accuracy by 48% through advanced semantic chunking and query re-ranking strategies. This chatbot helps the employees to get answers to their questions from the company's knowledge base. This reduces the load on the HR team and improves employee satisfaction.
Software Engineer Intern
HashedIn by Deloitte- Developed proficiency in multiple programming languages, including Java, Python, JavaScript, TypeScript, C/C++, C#, and SQL.
- Gained extensive hands-on experience with diverse frameworks and libraries by building full-stack projects using React, Angular, Tailwind CSS, Spring Boot, FastAPI, and .NET. Deepened expertise in AI/ML stacks with LangChain, LangGraph, Vector Databases, RAG Systems, and Agent Memory, alongside containerization strategies via Docker and Kubernetes.
- Engineered an Automated Codebase Analysis System leveraging Tree-sitter to parse large codebases across multiple languages. Utilized LLMs to automatically generate comprehensive technical documentation, significantly reducing manual effort. The system efficiently handles repositories containing thousands of files via parallel processing.
/skills
Languages
Core Fundamentals
Backend & Systems
Frontend Development
Cloud & DevOps
AI Engineering
/projects
Realtime AI Voice Chat
An open-source, real-time AI voice conversation system that seamlessly integrates with existing chatbot agents, transforming them into highly engaging voice interfaces. It features robust support for multiple prominent providers across STT, TTS, and LLMs.
CodeRunr
An open-source, high-performance remote code execution engine architected for the secure execution of untrusted workloads at scale. It leverages Linux namespaces and cgroups v2 to enforce strict process isolation and granular resource control.