Ankit Dhandharia — Software Engineer, AI/ML Engineer, and Data Engineer. MSCS candidate at Stevens Institute of Technology, AWS Certified, with 2+ years of production experience across backend development, ETL pipelines, machine learning, and analytics.
4+ years building backends, REST APIs, and full-stack apps. PHP/MySQL roots, now fluent in Python, Node.js, and modern JS frameworks. Shipped production systems with authentication, CMS, APIs, and frontend integration.
RAG pipelines with LangChain and local HuggingFace embeddings, classification & regression models in scikit-learn, deep learning with PyTorch. Focus on taking ML out of notebooks and into production systems.
1.5+ years of production experience: ETL/ELT pipelines moving 500k+ daily records, Medallion architectures, dbt transformations, Airflow orchestration, Snowflake warehouses. AWS Certified Data Engineer.
BSc Honours in Data Science from Somaiya Vidyavihar (9.09/10). Statistical modeling, hypothesis testing, EDA, feature engineering, and predictive modeling — applied in both coursework and real business problems.
Defined KPIs, built dashboards, and drove demand forecasting that improved inventory accuracy 30% at Barnes & Noble. Created BI tooling at Rajlaxmi that contributed to an Industry Excellence Award. SQL-native, Tableau & Power BI fluent.
AWS Certified Data Engineer Associate, plus three Azure Data Fundamentals certifications. Comfortable across S3, Redshift, Lambda, Glue, Kinesis, and the Azure analytics stack. Deployed apps with Docker and CI/CD pipelines.
Across backend, data, and full-stack development.
Software, ML, data engineering & analytics.
Processed through production ETL pipelines at Rajlaxmi.
Diverse data sources consolidated into unified analytics.
To modern cloud frameworks with 25% query speed-up.
AWS Data Engineer Associate + 4 Azure certifications.
Maintained across all BI pipelines via schema validation.
MSCS at Stevens Institute of Technology.