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Rajendra Sharma

Rajendra Sharma

AI/ML Engineer with strong expertise in deep learning, NLP, and computer vision, experienced in building end-to-end ML systems from model development to deployment. Proficient in PyTorch, TensorFlow, and transformer architectures, with hands-on experience in LLMs, agentic workflows (LangGraph), and real-time AI systems. Built scalable applications including a GPT model from scratch, a multi-agent AI system, and an explainable medical imaging model. Strong focus on model optimization, interpretab

Talent
DelhiMember since May 3, 2026
Machine LearningDeep LearningComputer VisionPyTorchTensorFlowOpenCVLangChainLangGraphOptunaQuantizationINT8RegularizationFastAPIFlaskStreamlitPythonPandasNumPy
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About

AI/ML Engineer with strong expertise in deep learning, NLP, and computer vision, experienced in building end-to-end ML systems from model development to deployment. Proficient in PyTorch, TensorFlow, and transformer architectures, with hands-on experience in LLMs, agentic workflows (LangGraph), and real-time AI systems. Built scalable applications including a GPT model from scratch, a multi-agent AI system, and an explainable medical imaging model.

Strong focus on model optimization, interpretability, and production-ready deployment.

Experience

AI Intern at Yantra Pragya (2025-05 – 2025-11)

  • Developed computer vision and NLP solutions including object detection, medical image segmentation, and OCR using TensorFlow and OpenCV
  • Built data preprocessing and validation pipelines for 1,000+ multilingual samples using Python (Pandas, NumPy), improving data quality and model performance
  • Evaluated model outputs using BLEU scoring and performance metrics, enhancing reliability and supporting production-ready AI workflows.

Education

M.Tech in Artificial Intelligence & Machine Learning – Amity University, Gurgaon (2024-01 – 2026-01)

B.Tech in Mechanical Engineering – DCRUST, Murthal (2020-01 – 2024-01)

Skills

NLPand computer visionTensorFlowand transformer architectureswith hands-on experience in LLMsagentic workflows (LangGraph)a multi-agent AI systeminterpretab

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