Vikash Balodi

About

Computer Science undergraduate specializing in AI/ML with hands-on experience in machine learning, deep learning, and LLM post-training. Has completed internships in ML model development and LLM evaluation, and built projects in CNN-based image classification and RAG-based AI applications.

Experience

• AI / LLM Post-Training Intern
  Ethara AI
  Feb 2026 – May 2026
• Data Science and Machine Learning Intern
  YBI Foundation
  Nov 2025 – Dec 2025

Education

• Bachelor of Technology in Computer Science (AI/ML)
  IILM University Greater Noida
  Computer Science (AI/ML) · Aug 2023 – Aug 2027

Skills

• SQL <3 months
• FastAPI <3 months
• Python <3 months
• Prompt Engineering <3 months
• Java <3 months
• Statistics <3 months
• Feature Engineering <3 months
• Model Evaluation <3 months
• NumPy <3 months
• Pandas <3 months
• scikit-learn <3 months
• OpenCV <3 months
• PyTorch <3 months
• TensorFlow <3 months
• CNN (Convolutional Neural Network) <3 months
• LLM evaluation <3 months
• LangChain <3 months
• API Integration Understanding <3 months
• RAG <3 months
• Resnet-50 <3 months

Tools / apps / platforms

• Git <3 months
• GitHub <3 months
• Jupyter Notebook <3 months
• Postman <3 months

Projects

• AI-Driven Site-Specific Weed Management
  ResNet-50, OpenCV, JavaScript, Web APIs

  Contributed to a precision agriculture platform for weed detection using a ResNet-50 CNN and computer vision techniques. Worked on field image preprocessing using OpenCV and integrated GPS-based geolocation for site-specific plot tracking. Contributed to scan record management and automated report generation to support site-specific weed monitoring and treatment decisions.

• Research Pilot AI
  FastAPI, LangChain, ChromaDB, Groq API, Gemini API, n8n, Python

  Architected an AI research platform via FastAPI with 10+ RESTful endpoints for document parsing and reporting. Built a high-throughput RAG pipeline with LangChain and ChromaDB, achieving retrieval latencies under 800ms. Engineered an LLM service layer with Groq and Gemini APIs featuring automated fallback for zero-downtime inference. Orchestrated multi-stage research workflows with specialized AI agents in n8n, reducing manual research time by 40%.

Courses & certifications

• Data Analytics Job Simulation · Deloitte Australia
• GenAI Powered Data Analytics Job Simulation · Tata Group
• Python Programming Certification · DataFlair