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AI Engineer with 2+ years in Machine Learning, LLMs, and Automation Workflows
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Assessing your cultural and operational fit
AI Engineer with 1+ year of hands-on experience in Machine Learning, LLMs, RAG pipelines, Voice AI agents, and end-to-end automation workflows. Proficient in LangChain, LangGraph, and n8n certified in both frameworks (2026). Built production-grade systems including RAG-based medical chatbots, voice AI agents, CRM automation, CV object detection pipelines, and ML-based predictive models for real-world datasets. Skilled in Python, FastAPI, Pinecone, and prompt engineering. Final-year CSE student at NUBTK, graduating 2026.
Northern University of Business and Technology, Khulna (NUBTK)
B.Sc. · Computer Science & Engineering
N/A – June 30, 2026
Khulna Public College
HSC
N/A – May 31, 2020
Independent ML Practitioner
ML Practitioner
January 1, 2024 – Present
India
MediMind AI — RAG-Based Medical Assistant
June 23, 2026 – Present
Built a production-grade RAG pipeline with Pinecone vector database for grounded, source-cited medical Q&A. Integrated CNN-powered skin disease detection with real-time image diagnostics. FastAPI backend with OpenAI API, delivering hallucination-resistant answers from curated knowledge base.
Voice-Enabled RAG Assistant
June 23, 2026 – Present
Built speech-to-text pipeline with Whisper, vector search with ChromaDB, and answer generation via Groq LLAMA. Designed Gradio interface with Sentence Transformers for embedding — strict knowledge-base-only responses.
n8n AI Automation Suite
June 23, 2026 – Present
Onboarding automation, Finance Tracker, Travel Agent with research capability, RAG Agent with Pinecone. Voice Call Agents (Retell AI & Vapi), WhatsApp Agent (DeepSeek R1), Calendar & Email Automation. Physical Therapy Clinic multi-agent system: AI processes call transcripts, schedules appointments, sends follow-up emails.
AI Sales Chatbot
June 23, 2026 – Present
Webhook-triggered chatbot with intent detection, price negotiation logic, and appointment booking flow. Transformed complex multi-step sales process into structured, scalable workflow with clean data routing.
Object Detection & Tracking System
June 23, 2026 – Present
Real-time multi-object detection, tracking, counting and masking pipeline using YOLOv8 + SORT/ByteTrack.
GoHighLevel CRM Automation
June 23, 2026 – Present
Complete GHL system for credit repair business: 90-day nurture sequence, no-show & hot-lead workflows, tag architecture.
AI LMS — AI-Powered Learning Management System
June 23, 2026 – Present
Full-stack LMS with AI chatbot, automated MCQ generation, PDF summarization, and marks management.
Telco Customer Churn Prediction
June 23, 2026 – Present
Built ML pipeline to predict customer churn using feature engineering, ensemble methods (XGBoost, Random Forest), and SMOTE for class imbalance. Achieved high classification accuracy through hyperparameter tuning and cross-validation; visualized key churn drivers with Matplotlib.
Foundation: Introduction to LangGraph - Python
LangChain Academy
April 1, 2026 – Present
Foundation: Introduction to LangChain — Python
LangChain Academy
February 1, 2026 – Present
AI/ML Engineering
Ostad
January 1, 2026 – Present
2-Star CodeChef Coder (Achievement)
Phitron Batch 6
January 1, 2025 – Present
Problem Solving Course
Phitron Programming Club
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong inclination towards practical, real-world AI applications and automation, which aligns well with a results-driven culture. The breadth of technologies and project types (chatbots, RAG, CV, automation) suggests a versatile and curious individual. However, the focus appears to be heavily on individual project delivery, and there's no explicit information on collaborative work or team contributions, which are crucial for cultural fit in many organizations.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and a proactive approach to building practical AI solutions. The diversity of projects suggests adaptability and a willingness to tackle different challenges. However, without direct interaction or psychometric test results, it's difficult to assess communication, teamwork, or stress handling abilities.