Chayan Shrang Raj

About Chayan Shrang Raj

Chayan is a responsible and reliable technology professional with an attitude of gratitude. He is a lifelong learner with a highly agentic attitude towards solving problems and is passionate about translating complex data-driven information into compelling narratives, bringing in a unique blend of technical expertise and strategic thinking to uncover hidden insights and communicate them in a way that is both engaging and impactful.Having graduated with MS in Machine Learning from Sweden and combined with strong 6+ years of professional experience in Data Analytics in Advanced Drug Delivery, Healthcare, Finance, Consulting industries, he is currently enthused about creating value by combining actionable data pipelines and GenAI to understand the economics of the data and bolster business development through proactive initiatives.His skills and experiences cover a large area of technologies as described below:Programming Language: SQL | Python | RAI toolkit: LLMs, SLMs, Langchain, Langgraph, n8n, Crew.ai, oLlamma, RAG, AI agents, MCP, AI architectureBigData tools & technologies: HDFS | Spark | Kafka | DatabricksData Science: Numpy, Pandas, Scikit-learn, Machine Learning, Deep Learning, EDA, Hypothesis Testing, NLP, SVM, XGBoostData Processing tool: PysparkDatawarehouse & Modelling tool: Redshift | BigQuery | Snowflake | Azure SQL PoolCloud: Microsoft Azure | Amazon Web Services (AWS)| Google cloud platformData Orchestration/Scheduling Tools: Airflow | Mage | AWS Step FunctionsBI & Visualization tool: MS Power BI | TableauVersion Control and other Tools: Git | dbt | Docker Don\'t hesitate to connect on: c••••••••@gmail.com or ping here.

Experience

1. Assistant Project Manager

   EXL

   Nov 2025 — Present · Gurugram, IN

   Led the development and deployment of Generative AI models including large language models (LLMs), diffusion models, and reinforcement learning systems.2. Research and implement state-of-the-art GenAI techniques (e.g, transformers, LangChain, RAG, Hugging Face frameworks).3. Collaborate with engineering, product, and business teams to integrate GenAI solutions into production pipelines and customer-facing applications.4. Design data pipelines and feature engineering processes tailored for GenAI applications.5. Evaluate model performance using advanced metrics; perform model tuning and optimization to improve accuracy, relevance, and efficiency.6. Ensure AI models comply with ethical guidelines and responsible AI principles (bias mitigation, transparency, fairness).7. Mentor junior data scientists and engineers on GenAI techniques and best practices.8. Present technical findings and AI-powered insights clearly to both technical and non-technical stakeholders.9. Stay up-to-date with emerging trends in AI, natural language processing (NLP), and machine learning (ML).

Education

• Linköping University

  Master of Science - MS, Statistics and machine learning

• Bal bharati Public School, Noida

  Senior Secondary , Science

  2003 — 2013

• KTH Royal Institute of Technology

  Master's degree (Part time - Distance Learning), Machine Learning

• Vellore Institute of Technology

  Bachelor of Technology - BTech, Electrical and Electronics Engineering (3.32/4 GPA)

  2014 — 2018