Dhruv Aditya Mittal

• Planned & implemented AI driven PoCs & pipelines across 5+ customer segments, enabling rapid validation & deployment. • Led and developed Agentic AI solution for autonomous lead qualification for 7+ departments, reducing manual effort by ~60%. • Integrated MLflow & W&B into pipelines with automated model registry to production, improving tracking & reproducibility. • Automated dev workflows with Claude, Cursor & GitHub Copilot, speeding up development & reducing deployment errors by 80%.

• Executed multi-agent chatbot pipelines with RAG & MCPs to generate automobile hardware code, reducing manual effort by ~70%. • Trained & optimized LLMs via prompt engineering, reducing hallucinations by 25% & improving success rates by 30%.

• Launched & deployed agentic AI chatbot to analyse 150+ countries across 75+ economic parameters, enabling automated insights. • Created RAG pipelines & agentic tools, improving retrieval accuracy, context grounding & decision-making reliability.

• Designed a continual learning pipeline for wearable devices sensor data, decreasing manual resource consumption by 40%. • Assembled multimodal attention transformers, CNNs, LSTMs to predict battery RUL, cutting model size by 50% & error by 76%.

• Delivered LangChain automation tool for proofreading, summarization, & query handling, boosting consulting efficiency by 25%. • Optimized AI based LLM and RAGs workflow automation with 95% routing accuracy, reducing processing time by 50%.

• Implemented ETL pipelines for automated AI-driven recommendations in banking sector, strengthening acceptance rates by 25%. • Built CI/CD pipelines with automated unit/integration tests, code quality checks & deployment, reducing production bugs by 40%.

• Researched & trained AI models for electricity price forecasting, reducing error by 30% & improving planning for Australian clients. • Analysed 100K+ reviews with BERT LLM, identifying customer sentiment trends for business strategy development.