Hello,
I'm a Data
This website contains my resume, projects and contact information.


About Me
I am a Senior Data Engineer and Full-Stack Developer based in Los Angeles with over 9 years of experience designing and delivering high-impact data solutions across the banking, fintech, and distribution industries. I specialize in architecting cloud-hybrid data warehouses, building scalable data pipelines, and deploying end-to-end analytics and machine learning systems that drive real business value. My work bridges deep data engineering expertise with full-stack development and applied AI, enabling seamless integration from data infrastructure to user-facing applications.
- Programming Languages: Python, T-SQL, Powershell, Shell, C#, JavaScript, TypeScript, HTML, CSS
- Databases: SQL Server, PostgreSQL, MySQL / MariaDB, MongoDB, Redis, InfluxDB
- Analytics & BI: Jupyter Notebook, Tableau, Splunk, PowerBI
- Monitoring & Observability: Grafana, Kibana, Splunk, SolarWinds DPA / SAM / NPM, Elasticsearch
- Cloud Platforms:Azure (SQL, Data Lake, Data Factory, Function App, Logic App, Vault, Service Bus), AWS (RDS, S3, Glue, Lambda, Step Functions, Secrets Manager), GCP (BigQuery, Firebase, Cloud Storage)
- Virtualization & Containerization: Docker, Kubernetes, Portainer, VMware ESXi, Proxmox, Hyper-V
- Project & Workflow Tools: Jira, GitHub, Azure DevOps
- Machine Learning & AI: PyTorch, TensorFlow, Scikit-Learn, XGBoost, Deep Learning, Fine-Tuning, RAG, Model Deployment
- Other Tools & Platforms: Apache Kafka, Apache Airflow, Apache Spark, Hive, Snowflake, dbt, MinIO
My Projects
Custom Book
Full-stack application for creating personalized children’s books as meaningful, one-of-a-kind gifts. Built with Python, React(via Next.js), TypeScript, CSS, and HTML, the app uses conversational AI and microservices architecture to generate custom narratives and illustrations. A fully automated backend pipeline handles creating, printing, and shipping. The application is deployed on a self-hosted, multi-location Kubernetes cluster, ensuring high availability and scalability.
Dharma Guru AI
Full-stack application featuring an interactive voice-to-voice AI Dharma Guru, fine-tuned on traditional religious texts to deliver culturally grounded guidance on rituals, customs, and spiritual practices. Uses Retrieval-Augmented Generation (RAG) to reference canonical sources in real time, significantly reducing hallucinations and ensuring accurate, context-aware responses. It generates personalized birth charts (Kundali) and provides tailored advice on auspicious timings and methods for performing traditional Nepali ceremonies.
Raag Info
An interactive, one-stop encyclopedia of Indian classical raags, curated from online sources. Search and explore raags by mood, time of day, season, and more. Built with vanilla JavaScript, HTML, and CSS.
UCSB.Report
Grade Distribution Analysis, Visualization and ML Predicton. Goal is to get the university to create a standarized grading policy.
ShekharPaudel.com
TailWind CSS and Next.js Running on High Availability Kubernetes (K3S) Cluster
Self-Serve Data Ingestion
Microservice Architecture Application for Self Service Automatic Data Ingestion and Modeling. Data or tech team is able to ingest and model data by filling out configuration forms. Significently reduces build time.
HomeLab
My HomeLab Infrastructure where this website and many other applications are hosted. Sensitive information is redacted.
DataWarehouseDesign
A sample of how I would design a data warehouse for a company.

Let's Connect
Whether you have a question or just want to say hi, I'll try my best to get back to you!