Looking for a job

karan sharma

@karansharma2004

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AI Engineer building GenAI, LLM, and RAG applications with Python, PyTorch, FastAPI, and Hugging Face.

India

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What I'm looking for

I'm looking for a remote Generative AI Engineer role where I can build production-ready AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern ML frameworks. I enjoy creating scalable AI products, optimizing model performance, and solving real-world problems with innovative AI solutions.

I'm an Applied AI & Generative AI Engineer passionate about building intelligent products with LLMs, RAG, AI Agents, and Machine Learning. I enjoy turning complex ideas into production-ready AI applications that solve real-world problems.

During my internship at TalaKunchi Networks, I worked with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI security, researching model vulnerabilities and evaluating LLM-powered systems.

My projects span Computer Vision, Generative AI, and Predictive Analytics. I've built GeoSynapse-X for satellite damage assessment, ClimAI for weather forecasting, and Agrisense for crop intelligence using deep learning and machine learning.

I primarily work with Python, PyTorch, TensorFlow, FastAPI, Hugging Face Transformers, Scikit-learn, OpenCV, AWS, and Azure, and I'm continuously expanding my expertise in modern AI systems.

I'm seeking remote Generative AI, Applied AI, LLM, or Machine Learning Engineer roles where I can build scalable AI products, collaborate with ambitious teams, and create impactful AI solutions.

Experience

Work history, roles, and key accomplishments

Current

GeoSynapse-X

Current

Self-Employed

Jan 2026 - Present (7 months)

Designed and developed end-to-end AI systems spanning Computer Vision, Machine Learning, and Large Language Models.

Built scalable deep learning pipelines using PyTorch, TensorFlow, FastAPI, OpenCV, and Scikit-learn while focusing on production-ready architectures, model optimization, and AI deployment.

Deep Learning PyTorch CUDA Satellite Imagery Analysis Satellite Imagery ASPPA Designations OpenCV Graph Attention Networks

Current

Independent AI Engineer

Current

Self-Employed

Sep 2023 - Present (2 years 11 months)

Python Computer Vision LLM

AI Intern

TalaKunchi Networks Pvt Ltd

Feb 2026 - May 2026 (3 months)

Built foundational understanding of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines, including transformer behavior, context handling, and retrieval integration. Researched LLM vulnerabilities (prompt injection, jailbreaking, data leakage) and collaborated on real-world attack workflows and mitigation strategies.

Large Language Models RAG Transformers Retrieval Integration Prompt Injection Jailbreaking LLM Security Latency Evaluation

Agrisense

Self-Employed

Jul 2025 - Nov 2025 (4 months)

Designed ensemble-based yield prediction models using ANN, XGBoost, ExtraTrees, and Ridge Blending, achieving 94%+ prediction accuracy. Built CNN-based disease detection models with ResNet-50 and EfficientNet-B3, and implemented automated preprocessing, dataset balancing, and GPU-optimized training pipelines for scalable model development.

Python 3 Machine Learning Machine Learning Pipelines Deep Learning Geometric Deep Learning Computer Vision AI Computer Vision On Edge TensorFlow PyTorch Pytorch Lightning data preprocessing Model Training GPU Computing Predictive Analytics

Clim Ai

Self-Employed

Jul 2025 - Nov 2025 (4 months)

Developed ClimAI, an AI-powered weather forecasting platform using machine learning and predictive analytics. Built forecasting models with Random Forest, XGBoost, SVM, and Linear Regression for weather prediction. Achieved an R² score of 0.90 through feature engineering, data preprocessing, and SHAP-based model explainability.