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Initializing

AI/ML Engineer & Full-Stack Developer

M Khadar Basha Jilan

Building intelligent systems at the intersection of machine learning, generative AI, and modern web technology.

khadarbashajilan001@gmail.com +91 90199 98013 LinkedIn GitHub LeetCode
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About

Career Objective

Building at the intersection of ML & the web.

CS graduate with hands-on experience across Machine Learning, Computer Vision, Generative AI, and Full-Stack Web Development. Skilled in building RAG-based systems, LLM-powered applications, React/TypeScript web apps, and REST APIs.

Seeking an entry-level role as an AI/ML Engineer or Full-Stack Developer to apply and expand expertise in developing intelligent, data-driven solutions.

6 projects 6 certifications 2025 graduate Bengaluru based
Current Status
Seeking
AI/ML Engineer · Full-Stack Developer
Location
Bengaluru, India
Focus
RAG Systems · LLM Apps · React/TypeScript
Latest
ML Intern at C-DAC Bangalore

Expertise

Technical Skills

Languages
PythonTypeScriptJavaScript (ES6+)SQL
Frontend
React.jsTailwind CSSHTML5CSS3
Backend & APIs
FastAPISQLAlchemyPydanticRESTful APIs
Machine Learning
Scikit-learnDeep LearningMobileNetComputer Vision
Generative AI
RAGPrompt EngineeringEmbeddingsVector Search
LLM Tools
LangChainOllamaHugging FaceMistral APINVIDIA AI
Databases
MongoDBSupabasePinecone
Libraries
pandasNumPyReact Query
Tools & Platforms
GitGitHubPostmanLinux

Experience

Work History

Feb 2026 – Apr 2026
Machine Learning Project Intern
C-DAC Bangalore
  • Developed a skin lesion classification system using MobileNet-based deep learning models for early detection of skin diseases.
  • Implemented image classification workflows for analyzing lesion images and predicting disease categories.
  • Integrated Ollama-based LLM responses to generate descriptive explanations for classification results.
  • Gained hands-on experience in applied machine learning and computer vision.

Work

Projects

Web Research Assistant
Terminal-Based AI Research Tool
A terminal-based AI research assistant built with Python, LangChain, OpenRouter, and Rich. Summarizes webpages into study notes, enables chat with saved notes via session memory, and runs entirely from the terminal with a rich CLI interface.
PythonLangChainOpenRouterRichCLI
View on GitHub
RAG Q&A Bot
AI Knowledge Retrieval System
Built a RAG-based Q&A system using LangChain, Mistral LLMs, and Pinecone vector database. Implemented semantic retrieval using embeddings, MMR search strategy, and Recursive Character Text Splitter for efficient document chunking.
LangChainMistralPineconeRAG
View on GitHub
ATS Resume Analyzer
AI-Powered Resume Evaluation
Built an ATS Resume Analyzer using Python, Streamlit, LangChain, and NVIDIA AI Endpoints. Implements ATS scoring, skill extraction, and resume-to-job description matching with structured LLM pipelines and Pydantic validation.
StreamlitLangChainNVIDIA AIPydantic
View on GitHub
Skin Lesion Classifier
Deep Learning for Dermatology
Completed at C-DAC Bangalore. MobileNet-based deep learning system for early detection of skin diseases. Integrated with Ollama LLM for generating human-readable explanations of classification results.
MobileNetDeep LearningComputer VisionOllama
View on GitHub
GitInsight
GitHub Repository Analytics
Developed a GitHub profile and repository analytics web app using React and Tailwind CSS. Integrated GitHub REST API with search, error handling, and activity insights. Implemented Context API and React Router for state management.
ReactTailwind CSSGitHub APIReact Router
View on GitHub

Education

Academic Background

Bachelor of Engineering — Computer Science
Sri Siddhartha School of Engineering, Tumkur
January 2021 – June 2025
7.0 / 10
CGPA

Credentials

Certifications

ML Project Internship
C-DAC
Apr 2026
AI Technical Practitioner
Cisco
Mar 2026
Frontend Developer (React)
HackerRank
Nov 2025
Generative AI Professional
Oracle
Sep 2025
Python Essentials
Cisco NetAcad
Aug 2025
Introduction to Linux (LFS101)
Linux Foundation
Aug 2025