AI / Data Engineer with 8 years of experience across data engineering, machine learning and production AI systems. Experienced in Agentic AI, LLMs, RAG, Python, SQL, Spark, Hadoop/HDFS, ETL and large-scale data pipelines across Azure and GCP. Master's in Data Science from the University of Trento, with a focus on building scalable, cloud-native AI and data solutions.
With expertise in ETL pipelines, I specialize in building custom connectors, data warehousing and orchestration using tools like Azure Data Factory, Airflow, Prefect etc. Proficient in SQL Server, PostgreSQL, and Vector Databases, I deliver data-driven solutions to complex business problems, ensuring seamless data integration and transformation in cloud environments for scalable analytics.
With a focus on Machine Learning and NLP, I excel at developing LLM solutions using GPT-3.5, Llama, Vector Databases and LangChain framework for tasks like data modeling, document retrieval, LLM finetuning and automation. My skill set includes TensorFlow, PyTorch, and RAG techniques, which I apply to create AI-driven tools, enhancing efficiency and decision-making in dynamic business environments.
I design BI solutions using Power BI, Azure Cloud, SSAS Cube, Power Query, and DAX to transform raw data into business insights. By leveraging SQL for backend data management and building interactive dashboards, I help businesses optimize strategies and performance. My experience in ad-hoc reporting and data analytics ensures precise KPI tracking and data-driven decision-making.
Sep 2021 - Oct 2023
Department of Sociology & Social Research
University of Trento, Italy
Thesis: "Cracking The Personality Code: A New
Frontier In Personality Prediction". Using
smartphone sensors to study human
behavior & personality.
Areas of studies inloved:
Statistical Learning,
Statistical Modeling,
Data Mining,
Law & Data
Machine Learning,
Deep Learning,
Natural Language Processing (NLP),
Sociology & Psychology,
Social Dynamics Lab,
Customer and Business Analytics,
Project Management,
Information, Knowledge & Service Management
Dec 2020 - Sep 2021
Indraprastha Institute of Information Technology, Delhi
Grade: 9.5/10
Capstone Project: "Churn Analysis on Telco Data
using IBM SPSS Modeler & IBM Cognos, Cloud Pak,
Predictive Analysis with Watson ML."
Subjects studied :
Mathematics & Optimization,
Data Mining,
Big Data Analytics,
Business Intelligence,
IBM Cognos,
IBM Cloud,
IBM Watson,
IBM Machine Learning Studio
Aug 2012 - Aug 2016
Department of Electrical Engineering
Biju Patnaik University of Technology, India
Projects Completed
Cups of Coffee
Worldwide Clients
Built and operate a production AI platform using Python, Supabase, LLM APIs, Cloudflare R2 and Stripe. Developed agentic workflows and evaluation harnesses for question-set generation, evaluation and QA using structured outputs, multi-step orchestration, automated validation, regression checks, monitoring and analytics.
Visit CiaoPrep →The city council of Barcelona floated a challenge to come up with innovative ideas to fight climate change. Worked with the city council to help make the city more sustainable through sustainable urban development. Conducted on-site observation and research, used city-collected data and proposed solutions to tackle excessive heat waves. My team won the challenge among participating teams from 13 countries and received an EU financing opportunity to further implement the proposed solution.
View publication →Built an image similarity search engine for an Introduction to Machine Learning project. A query image was matched against a gallery and returned ranked visually similar results. We used transfer learning with ImageNet pre-trained models and adapted them to the problem. Our team secured second place on the challenge leaderboard among seven teams.
View on GitHub →Worked with WindTre to explore new business opportunities through market research and statistical analysis. Developed an investment proposal and presented it to the WindTre business team. Led a team of four throughout the project.
Explore more of my engineering, data and machine learning work.
View GitHub Projects →Words from people I have worked with.
I’ve had the pleasure of working with Swaviman on a quite complex project. He showed not only great Data Engineering hard skills, but he also managed firmly and professionally situations way above his seniority proving himself worthy of the challenge. He led the data team with great humility, sense of duty and team spirit. Working with Swaviman has been a great pleasure, I would greatly recommend it to all.

I had the pleasure of working with Swaviman in his role as a Data Engineer, and I can genuinely say that I hold his work in the highest regard. In a highly competitive and demanding environment, Swaviman stood out for his expertise, dedication, and professionalism. He successfully handled complex tasks, engaging with stakeholders to gather requirements and translating them into effective technical solutions. Always approachable and collaborative, he was a key contributor to the success of our projects through his excellent teamwork. What I appreciated the most was his willingness to take ownership, even during challenging moments. Swaviman is a reliable professional and a valuable asset to any technical team.
I have had the chance to work with Swaviman for a few months. He has been a great Team player since day 1, his data engineering skills really stand out and he is constantly eager to learn new things. I would definitely recommend him for his technical skills and for the amazing person he is.

Kumar has done a machine learning internship at Startup Commons. He is a great team player that engages actively in the team discussion and product development. He also demonstrated great work ethics and attitude to take challenges and navigate out of his comfort zone throughout the internship period. I definitely recommend Kumar for any similar role.
