Himanshu Shukla

Background

About Himanshu Shukla

Machine Learning Engineer | LLMs | Multi-Agent Systems | RAG Architectures | Open-Source Contributor I’m a Machine Learning Engineer with deep expertise in building scalable AI systems across LLM pipelines, multi-agent frameworks, and retrieval-augmented generation (RAG). I thrive at the intersection of research and deployment—turning state-of-the-art models into impactful, production-grade solutions. At Siemens Digital Industries, I fine-tuned Qwen2.5-Coder-14B using GRPO Reinforcement Learning, raising code-generation accuracy from 66% to 81%. I architected a cache-augmented generation (CAG) pipeline, improving RAG response accuracy by 20%, and developed “LLM-as-a-Judge”—a modular evaluation platform with live dashboards, JSONL batch evaluation, and document-aware judgments via LangChain + ChromaDB. As part of the Innovative Core Team (ICT), I lead efforts in building advanced agentic systems. I designed a scalable multi-agent architecture featuring dynamic feedback loops and optimized LLM orchestration using DeepSeek-R1-Distill-Qwen-7B, achieving 72.63% faster task execution. I also engineered contextual retrieval pipelines with cosine similarity top-K filtering and BM25 retrievers—drawing from Anthropic’s research—and fine-tuned Llama 3.2 Vision for multimodal industrial applications. 🧪 During my AI R&D internship at Siemens Technology, I fine-tuned Llama2 and CodeLlama with 4-bit quantization to automate STAR CCM+ simulation scripting and profiled energy efficiency using PyTorch tools. I also deployed real-time YOLO-based object detection models on Jetson Nano, improving accuracy from 13% to 85% while halving inference time through TorchRun-based parallelization. In the open-source space, I contributed to Meta’s LLaMA repo—resolving runtime errors, unifying CLI/UI/checkpoints, and integrating Gradio for multimodal inference. I also enabled local Hugging Face model execution within RAFT (Meta x Microsoft x Berkeley). My academic foundation includes an M.E. in CS from BITS Pilani and B.Tech from AKTU. I’ve cleared GATE twice, ranked in Berkeley’s Function Calling Leaderboard, and hold multiple Coursera certifications (DL, NLP, ML math). I’m passionate about democratizing AI, open-sourcing research-grade tools, and building the next wave of intelligent, agentic systems. Let’s connect if you’re building the future of AI.