Sarthak Dhir

AI Engineer building and deploying Generative AI systems: multi-agent LangGraph applications, RAG pipelines, LLM APIs, and intelligent automation. Promoted to Senior Executive within ~14 months at Timex Group for independently shipping the department's entire AI and automation stack; recognized as a High Performer by global leadership. End-to-end ownership across LLM orchestration, vector retrieval, FastAPI backends, Docker, CI/CD, and cloud deployment on AWS and Azure.

AI Engineer & Automation Developer at Timex Group India Ltd. (2025-03 – Present)

Corporate designation: Senior Executive

• Promoted to Senior Executive within ~14 months for driving AI and automation adoption; recognized as a High Performer by management and global leadership; represented AI initiatives in client and leadership discussions.
• Data Pulse AI: Enterprise RAG system for natural-language querying over business data — hybrid (vector + BM25) retrieval, query rewriting, reranking; FastAPI + Streamlit on NVIDIA NIM (Llama 3.1 70B).
• Full Watch Cost Estimator: End-to-end ML pipeline — data cleaning, feature engineering, ensemble modeling (CatBoost, XGBoost, GradientBoosting), and deployment — for watch cost prediction, built for Timex's Hong Kong team; 7.91% MAPE (R² = 0.87), recognized by global leadership.
• Case Cost Estimator: End-to-end CatBoost regression (data cleaning through deployment) for watch case cost prediction within ±5% variance; built for and adopted by the Hong Kong team.
• Supply Chain Allocation Engine & PO Allocator: multi-constraint allocation improving efficiency by 30–40%; rule-based PO allocation reducing manual effort by ~60% (~8–10 hrs/week).
• Power BI Dashboards (10+): supply chain KPIs with complex DAX measures; improved decision speed by ~25%.

B.E. Computer Science & Engineering (Hons.) in Computer Science & Engineering with Specialization in AI & ML (in association with IBM) – Chandigarh University (2021 – 2025)