Headline

AI/ML Engineer | Python, FastAPI, ML Systems

About

Curious about how AI can solve real-world problems? So am I—and I’m building solutions to make that happen. If you're looking for an AI/ML fresher who doesn't just know the theory — but has actually shipped working AI products — keep reading. I'm Aqib, a B.Tech CSE (AI & ML) graduate who spent the last year building real, deployed AI systems rather than collecting certificates. 🔥 Here's what I've shipped: 🟢 SHL Assessment Agent [LIVE] — An AI agent that takes a job description and recommends the right SHL assessments. Built with FAISS + Groq LLM + Docker, deployed on Render. You can try it right now → https://shl-assisment-agent.onrender.com/ 🤖 AI Knowledge Assistant — A full-stack RAG system that ingests PDFs, DOCX & web pages and answers questions with source-cited, hallucination-free responses. Built with LangChain + FAISS + FastAPI. 👁️ INSIGHT-X — Real-time face recognition at <100ms/frame using OpenCV DNN. Full desktop dashboard built with PyQt5. 📚 AI Tutor — A fully offline LLM tutoring app using OLLAMA. No internet. No cloud costs. Just results. 💼 I've also completed: • Data Science Trainee @ DUCAT Noida — ML pipelines, 100K+ row datasets, Power BI dashboards • AIML Trainee @ IIT Kanpur (Prutor) — Email Spam Classifier with 94%+ accuracy 🛠️ My stack: Python • LangChain • RAG • FAISS • Groq • HuggingFace • FastAPI • Docker • OpenCV • Scikit-learn • SQL • Power BI 📌 Open to: AI Engineer • ML Engineer • GenAI Developer • Python Developer roles 📍 Location: New Delhi, Delhi (open to remote & relocation) If your team is building something with AI and needs someone who can hit the ground running — let's talk. 🤝

Location

Bengaluru

AI stack

claude code

cursor

gemini

grok

ollama

openai

Work experience

Data Science Trainee at Ducat India, Jul 2025 - Mar 2026 · 9 mos, Noida, Uttar Pradesh, India, Built and maintained data preprocessing pipelines for 100K+ row datasets, turning raw data into actionable insights using Python, SQL and Power BI. Trained, evaluated and debugged ML models through feature engineering, error analysis and hyperparameter tuning to improve performance and reliability. Integrated and deployed ML models into Flask and Streamlit applications, testing and troubleshooting real-time inference pipelines end to end, mirroring the model-to-API workflow used in production ML systems.

Trainee at SATHEE@IITK, Aug 2022 - Sep 2022 · 2 mos, Built foundational knowledge of AI/ML concepts through hands-on exercises and mentorship, covering core Python ML modules including NumPy and Pandas. Developed an Email Spam Classifier, applying data preprocessing and classical ML techniques for text classification.

Education

Bachelor of Technology - BTech, Computer Science and Engineering with AI&ML, Allenhouse Institute of Technology - India

Intermediate, PCM, Central Board of Secondary Education (CBSE)