Girraj Jangid is a Lead Data Scientist with 8 years of experience building production-ready GenAI applications and enterprise AI assistants, currently leading model deployment and inference optimization at Koantek. He has a proven track record deploying LLMs (7B–70B) and multimodal systems (text, audio, PDF, images) using RAG frameworks, quantization (GPTQ/AWQ/GGUF) and fine-tuning techniques like SFT+QLoRA for fast GPU/CPU serving. Prior roles in renewables and energy forecasting drove measurable business impact—reducing forecast MAPE, saving millions through defect-detection CV solutions, and scaling pipelines to process 50GB in under a minute. Comfortable across the ML stack, he combines deep learning, NLP, CV, and MLOps expertise with hands-on experience on Databricks, Azure, PySpark and CI/CD. Based in Rajasthan, India, he’s equally focused on mentoring teams and translating complex models into production-grade systems that deliver operational ROI.
7 years of coding experience
7 years of employment as a software developer
Bachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at JECRC University
Contributions:23 commits, 24 pushes, 1 branch in 6 months
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