[SYS.EXEC]: Booting Portfolio 00%
Status: Available for Full-Time & Contracts

Full-Stack MERN & AI/ML Engineering

Building scalable AI-powered software solutions with MERN Stack, Python, Machine Learning, and Generative AI.

About Me

BIO-01 Active Engineer

Hanuman Bishnoi

Computer Engineering graduate with hands-on experience in Machine Learning, Predictive Analytics, REST APIs, and Generative AI applications. Passionate about building scalable AI-powered software solutions with MERN Stack, Python, LangChain, and RAG pipelines.

Core Specialization AI/ML & Full-Stack Dev
Primary Stack MERN / Python / GenAI
EDU-03 Verified Degrees

Educational Foundation

Bachelor of Engineering (B.E.) Computer Engineering VIVA Institute of Technology, University of Mumbai (Sep 2022 – May 2026)
Certifications Google Cloud CI/CD Pipelines | MERN Stack Development Professional Certifications
EXP-04 Industrial Training

Professional Experience

Java Developer Intern Saksham Systems and Technologies Mar 2024 – Sep 2024

Developed a Java-based Shop Management System using Java, JDBC, and MySQL. Optimized SQL queries and improved CRUD operations through indexing and query optimization.

Achievements Runner-up, Smart India Hackathon (SIH) Winner, TECHSPARK 6.0 TPPC

NCC C Certificate (Senior Division Air Wing) – Alpha Grade.

Technical Stack

MERN Stack
MongoDB Express.js React.js Node.js HTML5 CSS3 Bootstrap JWT Auth
Python & Machine Learning
Python Pandas NumPy Scikit-learn Regression Classification Anomaly Detection
Generative AI & LLMs
LangChain RAG FAISS ChromaDB OpenAI API Anthropic API Vector DBs
Backend & REST APIs
FastAPI Flask REST APIs CRUD Java JDBC
Database Engineering
MongoDB MySQL SQL Query Optimization Indexing
Tools & CS Core
Git GitHub OOP REST APIs CI/CD Google Cloud

Selected Projects

SYS-01 COMPLETED
// PROJECT
01

AeroTalk – Aircraft Predictive Maintenance

Developed Remaining Useful Life (RUL) prediction models using Python, Pandas, NumPy, and Scikit-learn. Implemented anomaly detection for aircraft sensor data with RESTful APIs via Flask and FastAPI.

SYSTEM ARCHITECTURE
SENSOR
DATA
→
ML
PIPELINE
→
REST
API
→
MONGO
DB
TECH STACK
Python Scikit-learn Pandas NumPy Flask FastAPI MongoDB
VIEW IN DETAIL
SYS-02 PERSONAL PROJECT
// PROJECT
02

ProjectQA – RAG Document Q&A Assistant

Built a Retrieval-Augmented Generation (RAG) pipeline using LangChain and FAISS/ChromaDB. Integrated OpenAI and Anthropic LLM APIs for grounded document question answering with FastAPI endpoints.

AI PIPELINE LangChain / RAG
VECTOR STORE FAISS / ChromaDB
LLM APIs OpenAI / Anthropic
TECH STACK
Python LangChain FAISS ChromaDB FastAPI OpenAI API
VIEW IN DETAIL
SYS-03 COMPLETED
// PROJECT
03

E-Vidhya – MERN Learning Platform

Developed a full-stack online learning platform using MongoDB, Express.js, React.js, and Node.js. Implemented JWT authentication, RESTful APIs, and a responsive Bootstrap/HTML/CSS user interface.

FRONTEND React.js + Bootstrap
BACKEND Node.js / Express.js
AUTHENTICATION JWT / REST APIs
TECH STACK
MongoDB Express.js React.js Node.js HTML5 CSS3 Bootstrap JWT
VIEW IN DETAIL
🚀
Built With Modern Tech Performance • Scalability • AI-Powered
⚡
Real-World Solutions Problem Solving • Architecture • Impact
🧠
Continuously Evolving Learning • Building • Delivering

Client Feedback & Endorsements

REC-01 Peer Review
★★★★★

"The AeroTalk ML pipeline is impressively well-structured. RUL prediction accuracy and the anomaly detection integration were delivered with clean, production-ready code and thorough documentation."

Project ScopeML / Predictive Analytics
Prof. R. Sharma Project Mentor, VIVA Institute of Technology
REC-02 Peer Review
★★★★★

"Demonstrated strong problem-solving skills during internship. His ability to optimize SQL queries and improve CRUD operations significantly improved our Shop Management System's performance."

CollaborationJava / SQL Optimization
Tech Lead Saksham Systems and Technologies
REC-03 Peer Review
★★★★★

"The E-Vidhya MERN platform was built with a clean, responsive React UI and solid backend architecture. JWT auth integration and RESTful API design were particularly well-executed."

Project ScopeFull-Stack MERN Platform
Hackathon Jury TECHSPARK 6.0 TPPC – Winner

Let's Connect

Looking for a collaborator, have a question, or want to hire me? Feel free to reach out anytime.