Open to Opportunities

Hi, I'm Akshit

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I build production-ready web and AI-powered applications using MERN, Next.js, and modern AI systems. Focused on clean architecture, scalability, and real-world problem solving.

About Me

A quick snapshot of who I am and what I enjoy building

Akshit Bhandula

I’m Akshit Bhandula, a full-stack developer focused on building production-ready web and AI-powered applications.

  • Building production-ready web applications
  • Designing clean backend APIs
  • Integrating AI & RAG systems
  • Writing scalable and maintainable code

Full-Stack Development

MERN · Next.js · Scalable Web Apps

AI & RAG Systems

LLMs · RAG Pipelines · AI Integrations

Problem Solving

Clean · Efficient · Maintainable Code

Skills & Expertise

Technologies and tools I use to build scalable, real-world solutions

Frontend Development
ReactNext.jsTypeScriptTailwind CSSBootstrap
Backend Development
Node.jsExpressREST APIsJWTZodZustandRHFRedis
Databases
MongoDBPostgreSQLMySQLRedisFirebase
AI & RAG Systems
PythonOpenAI APIRAGLLMsLangChainVector DBs
Cloud & Deployment
VercelAWSRenderDockerCI/CD
Version Control
GitGitHubWorkflowsGitHub Actions
Mobile & Responsive
React NativeResponsive Design
UI / UX Design
Daisy UIDesign SystemsFramer

Education

Academic background and key milestones

Bachelor of Technology (B.Tech)

Information Technology

KIET Group of Institutions

2024 – 2028CGPA: 8.9 / 10

Coursework: Data Structures & Algorithms, Web Technologies, Database Management Systems, Software Engineering

Higher Secondary (Class 12)

Science Stream (PCM)

DMA

2023 – 2024Percentage: 95%

Subjects: Physics, Chemistry, Mathematics

Featured Projects

A collection of my real-world full-stack and AI projects

AI SaaS Resume Builder
AI SaaS Resume Builder
Production-grade AI SaaS app with real-time auto-save, structured resume editing, and AI-assisted content generation.
Next.jsTypeScriptPostgreSQLPrismaClerkRedisGroq API
AI Smart Notes (RAG)
AI Smart Notes (RAG)
RAG-based knowledge assistant with semantic search, vector DB (Qdrant), and LLM-powered responses.
Next.jsNode.jsQdrantRedisHuggingFaceGroq
MERN E-Commerce Platform
MERN E-Commerce Platform
Full-stack e-commerce system with authentication, role-based access, cart, and order management.
MongoDBExpressReactNode.jsJWT
Real-Time Chat App
Real-Time Chat App
WebSocket-based chat system with JWT authentication, online presence tracking, and persistent messaging.
ReactSocket.ioNode.jsMongoDBJWT

Experience

Building scalable, high-performance frontend systems with measurable impact

Frontend Developer

MendyGo

Dec 2025 – Mar 2026

  • Engineered a centralized frontend architecture using React & Next.js, ensuring consistency across modules
  • Developed 10+ reusable components, reducing code duplication by ~25% and improving development speed
  • Integrated REST APIs and optimized state management, improving UI responsiveness and data flow
  • Reduced unnecessary re-renders, boosting performance and responsiveness by ~20%

Achievements

Highlights of my academic and technical accomplishments

Top 15 Finalist – Innovation Showcase

Ignite 1.0 (GTBIT, New Delhi)

2026Solo Participation

Selected among top 15 finalists as a solo participant, presenting an AI-powered project from concept to execution.

Get in Touch

Interested in collaborating or discussing opportunities? Feel free to reach out.

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Availability

Currently open to internships, placements, and collaborative projects. Happy to discuss opportunities that align with my skills and interests.