Headline

Data & AI Engineer | Machine Learning | Deep Learning | Databricks | Python | Generative AI

About

I am a Machine Learning Engineer and Generative AI professional with 4+ years of experience in Data Science, Machine Learning, MLOps, and enterprise AI solutions, with a strong foundation in Python, SQL, Azure Cloud, and scalable AI systems on Microsoft Azure and Azure Databricks. My professional experience across enterprise IT and AI engineering has enabled me to work with large-scale operational data, business-critical workflows, and cloud-native architectures to build intelligent systems that support automation, analytics, decision-making, and operational optimization in enterprise environments. Currently, I am building and deploying end-to-end AI and Machine Learning solutions, focusing on: • Machine Learning model development, deployment, and monitoring • Generative AI applications using LLMs, RAG pipelines, and Azure OpenAI • Scalable data engineering pipelines using PySpark and Azure Databricks • MLOps workflows including MLflow, Apache Airflow, CI/CD, and drift monitoring • Deep Learning, NLP, and enterprise AI automation systems I am particularly interested in applied AI and Machine Learning, where models are not only developed but also deployed, monitored, optimized, and scaled for real-world production environments. Core Skills & Interests: Generative AI | LLM | RAG | Machine Learning | MLOps | Python | SQL | Azure Databricks | PySpark | Azure OpenAI | LangChain | MLflow | Apache Airflow | FastAPI | Docker | Kubernetes | Data Engineering | Deep Learning | NLP | Enterprise AI Career Goal: To grow as a Generative AI Engineer / Machine Learning Engineer, building scalable, cloud-native AI solutions and intelligent automation systems that solve real business problems and deliver measurable impact.

Location

Gurugram

AI stack

gemini

hugging face

langchain

openai

Work experience

Data Scientist at Capgemini, May 2026 - Present · 2 mos, Bengaluru, Karnataka, India

Service Management Specialist at Orange Business Services, Feb 2022 - Apr 2026 · 4 yrs 3 mos, Gurugram, Haryana, India, • Analyzed large volumes of operational and service management data to identify trends, risks, and improvement opportunities across incidents, changes, and service performance. • Performed data analysis using Python and SQL to support reporting, root cause analysis, and data-driven decision-making for internal and external stakeholders. • Designed and maintained dashboards and analytical reports to track SLA compliance, service quality, and operational efficiency. • Applied machine learning fundamentals (regression, classification, anomaly detection concepts) on historical service data for exploratory analysis and learning-focused use cases, understanding how predictive models can support proactive service management. • Built hands-on learning projects using Azure Machine Learning for model experimentation and Azure Blob Storage for dataset management in a cloud-based environment. • Gained practical exposure to Azure AI services, including Azure AI Foundry and Azure AI Vision, by developing proof-of-concept solutions for document analysis and intelligent data extraction. • Collaborated closely with business stakeholders and technical teams to translate operational challenges into data and analytics-driven use cases. • Worked in enterprise environments following best practices for data governance, access control, and production-aware analytics aligned with ITSM processes.

Research And Development Engineer-Trainee at LOGIC FRUIT TECHNOLOGIES, Jul 2021 - Dec 2021 · 6 mos

Research And Development Intern at LOGIC FRUIT TECHNOLOGIES, Mar 2021 - Jul 2021 · 5 mos

Education

Bachelor of Technology - BTech, Mechanical Engineering, S.B.S College of Engg. & Technology, Firozpur

CBSE, PCM,EN,CS, The pillars public school