Full-Stack ML/Data Engineer with Cloud Expertise

JASWANTH KUMAR SANGEPAVU

California, *****

California, 94568 774-***-**** ***************@*****.*** Portfolio Website LinkedIn: https://linkedin.com/in/jaswanth-kumarsangepavu GitHub: https://github.com/jaswanthraj2000 PROFESSIONAL SUMMARY

Full-stack technical engineer with end-to-end experience across Machine Learning Engineering, Data Science, Data Engineering, and Backend Software Development. Skilled in building production-ready systems, scalable pipelines, deep learning models, ETL frameworks, cloud architectures, and API-driven applications.

Strong background in:

• ML model development (Transformers, NLP, clustering, predictive modeling)

• Data engineering (PySpark, Airflow, Snowflake, Databricks, ETL, warehousing)

• Backend engineering (FastAPI, SQLAlchemy, containerized microservices)

• DevOps (Docker, Kubernetes, Terraform, CI/CD)

• Cloud platforms (AWS, Azure, Vercel, Railway)

Proven ability to deliver end-to-end, user-facing, scalable, and production-quality systems in both startup and project environments.

CERTIFICATION

• Databricks Fundamentals – Databricks Academy

• Python for Data Science – Coursera

• SQL for Data Analysis – Udemy

• Data Science Job Simulation – British Airways

SKILLS

Programming & Languages : Python, SQL, Go, TypeScript, Java, Kotlin, Shell Script Machine Learning / AI : PyTorch · TensorFlow · HuggingFace · Transformers · LLMs KMeans · DBSCAN · Regression · Classification · NLP · Time SeriesFeature Engineering · Feature Selection · Model Serving · Statistical Modeling

Data Engineering :PySpark · SparkML · Hadoop · Airflow · Luigi Snowflake · Redshift · Databricks · Data Warehousing ETL · Data Modeling · Data Pipelines · Schema Management Backend Engineering : FastAPI · SQLAlchemy · REST APIs PostgreSQL · MongoDB Microservices · Authentication (OAuth2, JWT)

DevOps & Infra :Docker · Kubernetes · Terraform Prometheus · Grafana · ELK Stack GitHub Actions · Jenkins · ArgoCD CI/CD · Observability

Visualization & BI : Tableau · Power BI · D3.js Matplotlib · Seaborn · Plotly Cloud : AWS (S3, Lambda) · Azure Vercel · Railway

EXPERIENCE

AI Virtual Try-On Platform (Avina.ai)

Project Jul 2025 – Present

• Tech: FastAPI, Next.js, Replicate API, Vercel, Railway, HTTPS/SSL, Docker

• Built Avina.live, an AI-powered virtual try-on system allowing users to upload clothing images and generate realistic model-wearing photos.

• Developed a production-grade Next.js frontend and FastAPI backend with asynchronous pipelines for image validation, processing, and generation.

• Integrated Replicate’s image model APIs and optimized inference latency using caching and efficient routing.

• Configured a custom domain (GoDaddy), SSL certificates, and DNS for secure deployment.

• Helped a small clothing brand reduce digital marketing content costs by 70% and significantly improve user engagement.

Data Management System – Developer Tooling & Platform Engineering Project Feb 2025 – Jun 2025

• Tech: FastAPI, Python, SQLAlchemy, React.js, D3.js, Docker, Kubernetes, Terraform, Prometheus, Grafana, ELK, GitHub Actions, Jenkins, ArgoCD

• Designed a full-stack platform for database schema extraction, lineage visualization, and developer tooling.

• Developed multiple services:

• Frontend (React + Tailwind + D3.js) for schema visualization

• Backend API (FastAPI) for CRUD and metadata operations

• Schema extraction microservice using SQLAlchemy and custom connectors

• Auth service using OAuth2 + JWT

• Built observability using Prometheus, Grafana, and ELK Stack.

• Implemented containerized deployments using Docker + Kubernetes + Terraform.

• Created CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD) to automate testing, builds, and deployments.

• Developed internal tooling in Python, TypeScript, and Go. Oasis Infobyte – Data Science

Intern Apr 2023 – Jun 2023

• Tech: Python, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, NLP

• Delivered multiple end-to-end DS projects:

• Iris Classifier: Multiclass classification with visualization & evaluation.

• Unemployment Analysis: Covid-focused trend analysis, preprocessing, and insights.

• Car Price Prediction: Regression model with engineered features.

• Spam Email Detection: NLP pipeline using NLTK + ML classification.

• Sales Prediction: Time-series inspired predictive model.

• Hands-on practice in EDA, modeling, and reporting. Zebo.ai – AI/ML

Intern Apr 2022 – May 2022

• Tech: PySpark, Pandas, AWS S3/Lambda, Tableau, Seaborn, Matplotlib

• Developed unsupervised clustering models (KMeans, DBSCAN) on real-world unlabeled datasets.

• Improved clustering quality by 15% via silhouette analysis and hyperparameter tuning.

• Automated ML workflows on AWS using S3 + Lambda.

• Built dashboards in Tableau to visualize cluster insights.

• Collaborated with cross-functional teams to apply clustering for customer segmentation. MAJOR TECHNICAL PROJECTS

Sign Language Recognition Using Transformer Models

• Tech: PyTorch, HuggingFace Transformers, OpenPose, BERT Tokenizer, GPT-3.5

• Built a Transformer-based model (TSPNetLite) to translate 2D skeleton motion into sign-language tokens.

• Used OpenPose for keypoint extraction and built a preprocessing pipeline to convert motion sequences into embeddings.

• Improved sentence quality using GPT-3.5 to refine predicted tokens into coherent language.

• Trained and tested models on limited data by employing augmentation and representation-learning techniques.

Sales vs Targets – Tableau Dashboard

• Tech: Tableau, Excel

• Developed interactive dashboards visualizing sales performance across categories and regions.

• Designed KPIs, variance indicators, and drill-down filters.

• Enabled business teams to identify underperforming segments and act on insights. EDUCATIONAL QUALIFICATIONS

• University of Massachusetts Dartmouth GPA- 3.75 08/2023- 05/2025 Master of Science – Data Science

• Malla Reddy Institute of Engineering and Technology 06/2019-08/2023 Bachelor of Technology – Computer Science and Engineering

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