deepak singh
@deepaksangh41
AI/ML Engineer skilled in Python, GenAI, RAG, LLMs, FastAPI, and MLOps, passionate about building real-world AI solutions.
IndiaWhat I'm looking for
I'm an AI Engineer who builds LLM-powered applications, RAG pipelines, and production-ready machine learning systems. I completed my B.Tech in Computer Science & Engineering in 2026, along with a BS in Data Science & Applications from IIT Madras.
Most recently, I interned at CyCrew as an AI Engineer, where I built an AI-powered SIEM incident analysis platform. It uses LLMs and RAG to automate alert investigation and generate structured incident reports for SOC teams. I designed the full pipeline with FAISS vector search, FastAPI, n8n workflow orchestration, and a Vue.js frontend, which reduced manual triage effort.
What I enjoy most is taking an AI idea from a notebook to something people can actually use: backend APIs, MLOps workflows, and cloud deployment.
🔹 What I've built
Virtual Data Analyst Agent: an LLM-powered API that writes, runs, and self-corrects code to analyze and visualize data
Virtual Teaching Assistant: a RAG-based API that answers student queries with reference links in under 30 seconds
Hotel Reservation Prediction: an end-to-end ML + MLOps pipeline using LightGBM, MLflow, Docker, and Jenkins CI/CD on GCP
Kaggle: ranked 152 out of 1,500 teams (top 10%) in the Engage2Value regression competition, and fine-tuned DeBERTa with LoRA for 30-class legal document classification
🔹 Skills
LLMs & Generative AI (RAG, FAISS, embeddings, prompt engineering, agentic workflows) · Machine Learning (scikit-learn, TensorFlow, XGBoost) · Python · FastAPI · Flask · Vue.js · SQL · Docker · MLflow · Jenkins · Google Cloud
I learn fast, take initiative, and focus on delivering real value, even when I'm new to the tools.
📌 Open to full-time AI/ML Engineer roles
🔗 Find me online
🌐 Portfolio: https://deepaksangh41.netlify.app/
💻 GitHub: https://github.com/Deepaksangh41git
✉️ Email: deepaksangh45@gmail.com
Experience
Work history, roles, and key accomplishments
During my internship, I worked on an AI-driven SIEM incident analysis system that automates the investigation and response of security alerts using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
Key contributions :
• Built an end-to-end pipeline to handle both classified SIEM alerts and unclassified raw security logs.
• Implemented a RAG system using FAISS and sentence emb
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology, Madras
BS in Data Science and Application, Computer Science
2022 - 2027
Pursuing a BS in Data Science and Applications at IIT Madras, focusing on data science, programming, statistics, machine learning, deep learning, SQL, and AI. Building strong analytical and problem-solving skills through hands-on coursework and real-world projects.
DRONACHARYA COLLEGE OF ENGINEERING
BTECH, COMPUTER SCIENCE
2022 - 2026
Grade: 8.2
Amazon
Amazon Ml Summer School
Aug 2024
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Feb 2024
Microsoft
Microsoft Applied Skills: Build a natural language processing solution with Azure AI Language
Jan 2024 · Expires Jan 2036
Availability
Location
IndiaAuthorized to work in
Website
deepaksangh41.netlify.appPortfolio
deepaksangh41.netlify.appSalary expectations
Social media
Job categories
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