DHRUV GARG SOFTWARE ENGINEER. AI/ML DEVELOPER.
Hey, I'm Dhruv Garg — Software Engineer & AI/ML Developer. I build RAG pipelines, deep learning models, and intelligent systems that solve real-world problems. Currently interning at Blostem, processing 10K+ documents with under 2s retrieval latency.
ABOUT DHRUV GARG
Dhruv Garg is a Software Engineer and AI/ML Developer in Gurgaon, India, studying Computer Science at BML Munjal University and building intelligent systems that make a real impact. From designing end-to-end RAG pipelines processing thousands of documents to training deep learning models with 95%+ accuracy, I thrive at the intersection of software engineering and AI.
My focus areas include Python development, Generative AI, machine learning, deep learning, computer vision, NLP, FastAPI, TensorFlow, LangChain, React, and backend software engineering. I am open to software engineer, AI engineer, machine learning engineer, and software engineer intern opportunities.
Currently working as a Software Engineer Intern at Blostem, where I'm building production-grade AI systems. I believe in writing clean code, shipping fast, and letting data drive decisions — whether it's optimizing retrieval latency or building interactive dashboards.
"The best way to predict the future is to build it — one model at a time."
SOFTWARE ENGINEERING & AI/ML SKILLS
Languages
Frameworks
Dev Tools
AI/ML Libraries
GenAI & RAG
SOFTWARE ENGINEERING EXPERIENCE
Software Engineer Intern
- Designing and developing a full end-to-end RAG pipeline processing 10K+ documents with under 2s average retrieval latency.
- Implementing document ingestion, chunking, and embedding workflows using LangChain and LlamaIndex, reducing retrieval noise by 30%.
- Integrating Hugging Face models and OpenAI API, improving response relevance by iterating on 15+ prompt templates.
Data Analyst Intern
- Cleaned and preprocessed 20K+ rows of business data using Pandas, resolving missing values, outliers, and format inconsistencies.
- Built 5+ interactive dashboards using Matplotlib to surface key business trends across 3 business verticals.
- Automated repetitive data cleaning workflows via Python scripts, cutting manual preprocessing time by 40%.
DHRUV GARG'S AI/ML PROJECTS
AI vs Real Image Detector
Deep-learning image forensic classifier using EfficientNetV2-B0 combined with FFT frequency-domain analysis to distinguish AI-generated images from real photographs. Deployed as an interactive Streamlit app with Grad-CAM visual explanations.
AI Interview Analysis
End-to-end AI platform extracting 15+ behavioral metrics including gaze tracking, posture detection, and facial emotion recognition from interview videos. Features a RAG pipeline using LangChain and ChromaDB for structured feedback generation.
Flight Crash Analysis
Analyzed 50K+ aviation incident records across 70+ years to identify crash risk factors, seasonal patterns, and operator-level trends. Trained 5 ML models including Random Forest and XGBoost, achieving 89% prediction accuracy.
DHRUV GARG'S EDUCATION
BML Munjal University
CONTACT DHRUV GARG
Whether it's an exciting AI project, an internship opportunity, or just a tech conversation — I'd love to hear from you.