AS
Available for opportunities

Abhit Sahu

Software Engineer

I'm an AI Software Engineer with 1+ years of internship experience building Agentic AI, RAG systems, and scalable full-stack applications with Next.js, TypeScript, Python, FastAPI, LangChain, LangGraph, and AWS.

Building Agentic AI, RAG systems, and scalable full-stack applications.

Contact MeView Resume
About

Engineering with intent

I'm an AI Software Engineer with 1+ years of internship experience building Agentic AI, RAG systems, and scalable full-stack applications using Python, TypeScript, Next.js, FastAPI, LangChain, LangGraph, and AWS.

My work spans LLM workflows, RAG systems, scalable backend APIs, cloud deployments, business-workflow automation, and microservices. I enjoy taking AI-enabled products from reliable architecture to production.

3
Internship Roles
40%
Faster Load Times
30%
Reduced API Errors
8.5
CGPA / 10
AI Engineering
Backend Development
Full Stack Development
Agentic AI & RAG
Cloud & DevOps
Scalable Systems
Experience

Where I've made an impact

A track record of shipping backend systems, full-stack products, and cloud infrastructure.

Onelot

Software Engineer Intern

Oct 2025 — Apr 2026
  • Worked as a Full Stack Developer using Next.js, FastAPI, Prisma, PostgreSQL, n8n, and LangChain to build scalable web applications and automate business workflows.
  • Collaborated on backend optimization, AI integrations, API development, deployment workflows, and production issue resolution to improve system reliability.
Next.jsFastAPILangChainPrismaPostgreSQLn8n
Shankh Technologies Private Limited

Software Engineer Intern

Mar 2025 — Aug 2025
  • Developed scalable ride-booking microservices using Node.js, PostgreSQL, and Prisma ORM, ensuring reliable API performance and efficient data handling.
  • Deployed and managed AWS ECS Fargate, RDS, S3, and Amplify while containerizing backend services with Docker.
  • Integrated ONDC ride-hailing protocols and optimized backend services with monitoring-focused deployment workflows.
Node.jsPrismaPostgreSQLAWSDockerONDC
Wedsy

Full-Stack Developer (Intern)

Sept 2024 — Mar 2025
  • Revamped an event management platform using Next.js, TypeScript, and Node.js, improving load time by 40% and reducing bounce rate by 25%.
  • Migrated backend infrastructure from Render to AWS EC2, improving scalability and reducing API errors by 30%.
Next.jsTypeScriptNode.jsAWS EC2
Projects

Things I've built

Selected work in AI resume intelligence, Agentic RAG, and production-ready full-stack systems.

AI Resume Assistant — AI-powered ATS Resume Analysis Platform
Featured

AI Resume Assistant

AI-powered ATS Resume Analysis Platform

An ATS resume-analysis platform that generates job-specific recommendations with Next.js, FastAPI, LangChain, Google Gemini, and Python. It includes LiteLLM routing, LangSmith observability, async document processing, Google OAuth, RazorPay, and AWS deployment with Docker, S3, CloudFront, and Nginx.

Next.jsFastAPIPythonLangChainLiteLLMLangSmithGoogle GeminiPostgreSQLDockerAWS EC2
CodeLive Demo
Kubernetes Agentic RAG Assistant — Secure Kubernetes documentation Q&A system

Kubernetes Agentic RAG Assistant

Secure Kubernetes documentation Q&A system

A LangGraph planner–retriever–responder workflow with memory, Qdrant retrieval, and FlashRank reranking for Kubernetes queries. The FastAPI and Streamlit app supports Gemini embeddings, Portkey + Groq routing, Guardrails, RAGAS, Logfire, LangSmith, and AWS EC2 deployment.

PythonLangGraphQdrantFastAPIPortkeyNeMo GuardrailsRAGAS
CodeLive Demo
Skills

My technical toolkit

The languages, frameworks, and tools I reach for to build reliable software.

Programming Languages

PythonTypeScriptJavaScriptC/C++

Frontend & UI

Next.jsReact.jsStreamlitHTMLCSSTailwind CSSBootstrap

Backend & APIs

FastAPINode.jsREST APIsPrisma ORMSocket.io

AI & RAG

LangChainLangGraphLiteLLMGeminiGroqQdrantFlashRankRAGPrompt Engineering

Cloud & DevOps

AWS EC2S3CloudFrontDockerKubernetesNginxGitHub ActionsCI/CDLinux

AI Safety & Observability

PortkeyNeMo GuardrailsRAGASLangSmithLogfire

Databases & Tools

SQLMySQLPostgreSQLMongoDBRedisGitGitHubPostmanRazorPay
Milestones

Achievements & Education

Hack-Nocturne (NextKick) 2025

Contributor — Player Analysis Tool

March 2025

Developed a real-time player tracking and analysis system using YOLOv8, Deep SORT, Node.js, Prisma ORM, and PostgreSQL.

YOLOv8Deep SORTNode.jsPrismaPostgreSQL

Sir M. Visvesvaraya Institute of Technology

Bachelor of Engineering, Computer Science and Engineering

2022 — 2026Bangalore, India
8.5 / 10Cumulative
GPA
Contact

Let's build something

Have a role, project, or idea in mind? My inbox is always open.

Email
sahuabhit27@gmail.com
Phone
+91-7085563968
Location
Bangalore, Karnataka, India