~$ Welcome to my working space ~$

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Engineer with 2+ years of experience developing ML pipelines, AI models, and containerized software deployments on AWS using Python, SQL, PyTorch, XGBoost, GoLang, Git, CI/CD, and LangChain in the biotech, utilities, and healthcare industries.

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Professional Experience

Software Engineer

Fownd Inc

Dec 2025 – Present Remote
  • Implemented automated load testing scripts simulating up to 200 concurrent users, enabling infrastructure improvements to AWS cloud performance, data processing pipelines, and scalability while debugging critical bottlenecks for ECS, EC2, and Bedrock Services.
  • Developed a microservice-based payment system using Go, Docker, Cassandra, and Redis, supporting secure and scalable enterprise transaction processing.
  • Architected a scalable observability stack with Grafana, Prometheus, Loki, and AWS X-Ray on AWS EKS using Terraform, enabling end-to-end backend/API monitoring, tracing, and logging for real-time problem detection.

Data & Software Engineer

Freelancer – VigVen

Sep 2025 – Nov 2025 Remote
  • Built a PyQt automation tool in Python to collect and structure test execution data, integrating it into a database for improved model evaluation workflows.
  • Created a Docker and MSSQL-based automated data pipeline for storing and analyzing test results, incorporating model deployment processes for reproducible workflows.

Data Scientist

ChaseTech Solz

Mar 2024 – Jul 2025 Philadelphia, PA, USA
  • Developed ML models using Python, PySpark, and SQL for patient enrollment assessment and clinical trial site performance forecasting across 50+ sites in 20+ countries, processing 50,000+ patient records to enable timely site selection and enrollment decisions.
  • Designed interactive PowerBI dashboards to monitor clinical KPIs across 50+ sites, enabling faster decision-making and reducing time-to-insight for senior stakeholders.

Data Scientist

Avangrid – Iberdrola Group

Sep 2023 – Dec 2023 Rochester, NY, USA
  • Assessed utility pole damage patterns caused by osprey nests using SQL, Python, feature engineering, and Databricks to build a classification model and generate operational insights beyond initial scope.
  • Engineered an interactive dashboard to visualize power outage trends, communicating findings to technical and non-technical stakeholders and improving monitoring efficiency by 30%.

Graduate Research Assistant

University of Rochester Medical Center – Dept. of Pediatrics

May 2023 – Sep 2023 Rochester, NY, USA
  • Analyzed rat retina imaging data using OpenCV and statistical analysis, surfacing insights and automating early-stage vascular pattern detection for Retinopathy of Prematurity research.
  • Trained a Siamese neural network using PyTorch to classify vascular patterns in mouse retina images, achieving 82% accuracy and reducing manual review time while translating findings for senior research audiences.

Projects

Automated Pre-Match Opponent Analysis

Built an end-to-end opponent profiling system using raw StatsBomb open data, applying XGBoost xG modelling, K-Means tactical clustering, and LLaMA 3 via Ollama to generate executive pre-match coaching reports with mplsoccer visualizations.

Python XGBoost K-Means LLaMA 3 mplsoccer

Detection of Shilling Attacks

Led a four-member team to develop and optimize a Random Forest classifier in Python for shilling attack detection in recommender systems, incorporating RDMA and DegSim features to reach 93% accuracy and publishing the results in a peer-reviewed journal.

Python Random Forest scikit-learn Research

Skills

Programming

Python C++ Java C SQL Linux/Unix GoLang Terraform

AI & ML

Deep Learning LLMs NLP Time Series Forecasting Predictive Modeling A/B Testing Hypothesis Testing

Frameworks & Tools

TensorFlow PyTorch XGBoost scikit-learn MLflow OpenCV LangChain Ollama

Cloud & Data

AWS GCP Databricks PySpark Hadoop Docker Kubernetes Helm

Visualization & Practices

PowerBI Tableau Matplotlib Seaborn mplsoccer MLOps Model Deployment Model Evaluation Data Processing Agile

Education

Master of Science in Data Science

University of Rochester

Rochester, NY Sep 2022 - Dec 2023

GPA: 3.5/4.0

Bachelor of Technology in Computer Science

Gandhi Institute of Technology and Management (GITAM)

Visakhapatnam, India Jun 2018 - Apr 2022

GPA: 8.51/10

Get In Touch

Let's Connect

I'm always interested in hearing about new opportunities, collaborations, or just connecting with fellow data enthusiasts. Feel free to reach out!

Send me a message