Headline

Generative AI | LLMs | RAG Systems | NLP | Computer Vision | PySpark | Snowflake | Airflow

About

I am a dedicated and enthusiastic B.Tech student specializing in Information Technology. With a stable foundation in engineering principles, I have my keen interest in domain of AI/ML. I am eager to apply my knowledge and skills to real-world challenges where I can learn from others and contribute my ideas. Feel free to connect with me if you share similar interests. I am always open to networking and learning from others in the industry!

Location

Jaipur

AI stack

antigravity

claude code

claude

codex

github copilot

langchain

Work experience

Data Science Intern at BigHaat India, Aug 2026 - Present · 1 mo, Bengaluru, Karnataka, India, -Developed and optimized MLOps pipelines for the Crop Doctor disease-classification system, supporting model training, deployment, and monitoring. -Trained CNN-based models and fine-tuned Vision Transformers (ViTs) for crop disease classification, improving image-based disease detection and classification performance.

AI Developer Intern at Jabit Soft Pvt Ltd, Feb 2026 - Jul 2026 · 5 mo, Noida, Uttar Pradesh, India, - Architected a Retrieval-Augmented Generation (RAG) pipeline integrating LLMs (GPT/Llama-class) with enterprise document stores to power an intelligent chatbot. - Implemented document ingestion, chunking strategies, and vector embedding generation (FAISS / ChromaDB) to ground responses in company-specific knowledge. - Optimized retrieval accuracy through prompt engineering, context window management, and semantic similarity tuning.

Winter Trainee at Indian Institute of Technology, Kanpur, Dec 2025 - Dec 2025 · 1 mo, Kanpur, Uttar Pradesh, India, - Got an opportunity as Winter Trainee under EICTA of IIT Kanpur in domain of Machine Learning with Python. - Covered: Data Preprocessing, Handling Missing Values, Neural Network fundamentals (weights, activations, backpropagation), and model evaluation metrics

Machine Learning Intern at Dzaro Solutions, Jun 2025 - Jul 2025 · 1 mo, Pune District, Maharashtra, India, - Built end-to-end Deep Learning pipelines for image and text tasks using PyTorch and TensorFlow, covering data preprocessing through model evaluation. - Designed and trained CNN architectures for image classification, achieving optimized accuracy through layer tuning and regularization. - Developed RNN and LSTM models for sequential text data, implementing NLP preprocessing (tokenization, padding, embedding layers). - Managed full ML workflow: data collection → preprocessing → model training → validation → performance benchmarking using Scikit-learn

Education

Bachelor of Technology - BTech, Information Technology, SKIT Jaipur

CBSE 12th, St. Anthony Sr. Sec. School

Public links

github: https://github.com/shlok0603

leetcode: https://leetcode.com/shlok1256