sudhanshu Sekhar Naik

About

AI/ML Engineer with hands-on experience in computer vision, deep learning, machine learning, and GenAI/agentic AI systems. Built real-time detection, classification, and RAG-based applications using Python, FastAPI/Flask, and modern ML frameworks.

Experience

• AI/ML Engineer Intern
  BabyCue Private Limited
  May 2026 – Aug 2026
• Front-End Web Development Intern
  CSRBOX (IBM SkillsBuild)
  Jun 2024 – Aug 2024

Education

• Bachelor of Technology
  Odisha University of Technology and Research
  Information Technology · Oct 2022 – May 2026

Skills

• SQL
• C
• FastAPI
• Python
• Prompt Engineering
• Java
• Feature Engineering
• NumPy
• Pandas
• scikit-learn
• OpenCV
• Flask
• PyTorch
• TensorFlow
• Image Processing
• CNN (Convolutional Neural Network)
• LangChain
• JSON
• Random Forest
• API Integration Understanding
• Statistical Analysis
• RAG
• LLMs
• LangGraph
• XGBoost
• Multi-Agent Workflows
• Hyperparameter Tuning
• Transfer Learning
• Faiss
• APIs and integrations
• Bert
• Logistic Regression ( in progress )
• Resnet-50
• K-Means

Projects

• Automated Load Test Script Generation from Production Traffic
  Python, LLMs, K-Means, REST APIs, Statistical Analysis

  Transformed production traffic logs into JMeter load-testing scripts using clustering, dynamic parameter detection, and think-time estimation; secured Top 5 among 100+ teams in the Feuji Innovation Hackathon.

• CustomerPulse AI – Customer Intelligence Platform
  Python, LightGBM, Scikit-learn, K-Means, SHAP, Agentic AI, LLMs

  Built workflows for churn prediction, customer segmentation, next-event prediction, and anomaly detection, with SHAP-based explainability and an LLM-powered analyst.

• MALLOC – AI Career Intelligence Platform
  Python, LangChain, FastAPI, Agentic AI, LLMs, RAG, FAISS, Hugging Face, BERT

  Built a platform for resume matching, ATS checking, job authenticity analysis, and application tracking with semantic matching and an AI assistant for job-application tasks.

• VerdictAI – AI Legal Courtroom Platform
  Python, LangChain, LangGraph, Agentic AI, RAG, FAISS, Hugging Face, FastAPI, PostgreSQL

  Designed specialized multi-agent courtroom roles, implemented evidence-grounded retrieval with FAISS and Hugging Face, orchestrated an end-to-end legal workflow, and used FastAPI with PostgreSQL for backend services.

Courses & certifications

• Data Visualization · Tata Group (Forage)
• Data Analytics Job Simulation · Deloitte Australia (Forage)
• Front-End Web Development Internship · IBM SkillsBuild

🏆 Achievements & awards

• Feuji Innovation Hackathon – Top 5

  Secured Top 5 among 100+ participating teams for the automated load test script generation project.

⚽ Extracurricular activities

• Convenor – Photography Club

  Served as convenor for the Photography Club during 2024–25.

📚 Publications

• Ensemble Machine Learning Approach for Instagram Bot and Fraudulent Account Detection

🎯 Hobbies & interests

• Photography