ML Framework Implementation: Developed personalized health
recommendation models with PyTorch and TensorFlow, tailoring care
paths for members and improving engagement rates by 25% on GCP.
AI-Driven Analytics: Created predictive algorithms in Python to
automate claims processing, integrating RAG models for better data
retrieval and reducing nurse workload by 90 minutes daily.
Cloud Infrastructure Management: Managed AI workloads on Google
Cloud Platform, using vector databases for efficient querying and
ensuring secure handling of PHI data.
Backend Service Enhancement: Built microservices with FastAPI and
Java, supporting real-time integrations that streamlined app
experiences for chronic condition management.
Model Training and Deployment: Trained large language models for
member chat interfaces, leveraging Gemini AI and Python scripts to
achieve higher accuracy in personalized wellness programs.
System Integration: Incorporated asynchronous messaging in C# and
Go, connecting AI tools with existing databases like BigQuery,
which accelerated development cycles and improved operational
automation.
Verizon - Software Engineer
Aug 2023 - May 2024
Project: Fiber Cut Prevention AI System
AI Model Development: Built machine learning models using Python
and PyTorch to analyze over 10 million dig requests, reducing
fiber cuts by 15% through predictive analytics on AWS
infrastructure.
Generative AI Integration: Implemented Llama models on cloud for
processing natural language in excavation permits, improving
accuracy in risk assessments and integrating with existing ML
pipelines.
Cloud Deployment: Deployed scalable AI solutions on AWS and Azure,
handling high-volume data processing with Kubernetes for
containerization and real-time monitoring.
Data Pipeline Optimization: Designed ETL processes in Java and
Python, incorporating Kafka for streaming data, which enhanced
system efficiency and cut processing time by 20%.
Cross-Team Collaboration: Worked with data scientists to refine
deep learning algorithms in TensorFlow, ensuring compliance with
telecom regulations and boosting model performance metrics.
Performance Tuning: Optimized ML models for edge computing, using
Rust and Go for low-latency components, resulting in faster
response times during peak network loads.
OwlSpark - Backend Engineer
May 2022 - Aug 2022
Candidate Assessment Module: Delivered a candidate assessment
module, integrating voice and video analysis with React.js,
Django, Generative AI and openCV, achieving a candidate
satisfaction rating of 4.5 out of 5.
Golang Microservices: Developed Golang microservices to assess
candidate profiles and match them to job openings, leveraging
Docker and Kubernetes for deployment, resulting in a 60%
improvement in processing speed and accuracy.
Messaging Architecture: Engineered lightweight messaging
architecture with Django Channels, Web Sockets, Redis with low
latency.
Monitoring and Analytics: Monitored pod and container statistics
by implementing Prometheus and Grafana to collect analytics and
identify issues, leading to a 20% cost savings in resource
utilization.
WarrantyMe - Software Engineer
Aug 2019 - June 2021
UI Development: Designed and developed reusable React.js
components using Hooks and Context API, creating a modular UI
architecture.
Dashbords: Built real-time analytics dashboards with React.js and
D3.js, enhancing system performance visibility and user
engagement. Implemented secure OAuth 2.0 and JWT-based
authentication across the frontend, protecting access to
dashboards and APIs for 400+ users.
API Integration: Developed RESTful APIs using Flask and PostgreSQL
to support real-time data operations for user and admin features.
Integrated third-party APIs to extend platform functionality,
resulting in improved customer experience and retention.
Infrastructure Automation: Deployed applications on AWS EC2 and
automated infrastructure provisioning using Terraform, reducing
environment setup time by 50%.
Monitoring: Monitoring with ELK Stack and AWS CloudWatch, enabling
proactive issue detection through real-time log analysis and
alerts.