Het Mehulkumar Patel

About Het Mehulkumar Patel

I am a Senior Software Engineer with 5+ years of experience designing and delivering cloud-native, data-driven, and AI-powered applications across Telecom, FinTech, Healthcare, and IoT domains. My expertise lies in building scalable backend systems, real-time data pipelines, and intelligent AI/GenAI services that drive business impact and innovation. Core Strengths: Backend & APIs → Python (Django, Flask, FastAPI), Node.js, REST/GraphQL, microservices architecture Frontend → React.js, Angular, TypeScript, D3.js, Highcharts, Plotly, Recharts Data Engineering → Apache Airflow, PySpark, Kafka, Kinesis, AWS Glue, ETL/ELT, Snowflake, Redshift Cloud & DevOps → AWS (Lambda, EKS, EC2, S3, RDS, DynamoDB), Kubernetes, Docker, Terraform, CDK, CI/CD (GitHub Actions, Jenkins, GitLab CI) AI/ML & GenAI → PyTorch, Scikit-learn, TensorFlow, Pandas, NumPy, LangChain, LLMs (OpenAI, AWS Bedrock), RAG pipelines, prompt engineering Observability → CloudWatch, Prometheus, Grafana, New Relic, distributed tracing, SLA monitoring Key Achievements: Built real-time telecom analytics systems at Verizon, processing petabytes of call records with Airflow, PySpark, Kafka, and AWS Glue. Delivered fraud detection and compliance pipelines in FinTech (Tatvasoft) using Django, ML models, and GenAI-powered search assistants. Developed AI/ML solutions in Healthcare (Aavenir), enabling claims automation, fraud detection, and HIPAA-compliant GenAI/RAG pipelines. Designed IoT-driven platforms at Oizom for air quality & environmental monitoring, integrating Flask/FastAPI, PyTorch, Kafka, and AWS. I thrive in Agile teams, collaborating with cross-functional stakeholders to deliver secure, scalable, and production-ready solutions. Beyond engineering, I mentor junior developers and actively contribute to architecture design, TDD practices, and GenAI adoption. I’m open to opportunities as a Python Full Stack Engineer | Backend Engineer | Data Engineer | AI/ML Engineer | Cloud/DevOps Engineer, where I can leverage my expertise to build impactful, high-performance systems. Reach me directly at h••••••••@gmail.com #PythonDeveloper #FullStackEngineer #BackendEngineer #DataEngineer #AIEngineer #MLEngineer #GenAI #CloudEngineer #DevOpsEngineer #AWS #Kubernetes #Terraform #Django #Flask #FastAPI #Airflow #Kafka #Snowflake #LangChain #OpenToWork

Experience

1. Senior Software Engineer

   Verizon

   Aug 2024 — Present

   At Verizon, I am leading the design and development of scalable backend services, data pipelines, and GenAI-powered applications that support real-time telecom analytics and IoT telemetry processing.*Developed and deployed RESTful APIs & microservices using Python (Django, FastAPI) and Node.js, ensuring high throughput and secure integrations.*Built ETL and real-time streaming pipelines with Apache Airflow, PySpark, Kafka, and Kinesis, processing petabytes of call records and network logs into Snowflake and Redshift for analytics and ML workloads.*Designed React.js & Angular dashboards with D3.js, Recharts, Plotly, enabling interactive visualization of KPIs like churn, bandwidth utilization, and SLA metrics.*Automated cloud infrastructure provisioning with AWS (EKS, Lambda, DynamoDB, RDS, Terraform, CDK), improving scalability and reliability during peak traffic.*Delivered GenAI-powered solutions using LLMs (OpenAI, AWS Bedrock), LangChain, and RAG pipelines, enabling natural language querying of network logs, SLA diagnostics, and outage forecasting.*Partnered with data science teams to integrate ML pipelines (PyTorch, Scikit-learn, Pandas) for fraud detection, churn prediction, and outage forecasting.This role has strengthened my expertise in Python backend engineering, cloud-native data pipelines, and GenAI/ML integration while driving impactful solutions for network reliability, fraud prevention, and customer experience.

Education

• New Jersey Institute of Technology

  Master of Science - MS

• Indian Institute of Information Technology Vadodara

  CSE