Suraj Jangid

About

Software engineer with 3.5 years of experience building AI-driven, event-driven backend systems for healthcare and industrial platforms. Skilled in Python, FastAPI, Django, AWS, and distributed processing with a focus on reliability, scalability, and automation.

Experience

• Software Engineer
  Stark Digital Media Services Pvt. Ltd.
  Feb 2026 – Present
• Software Engineer
  Sustainability Economics.ai
  Jul 2023 – Sep 2025
• Backend Developer
  NonStop.io Technologies
  Oct 2022 – Jun 2023

Education

• Master of Computer Applications (MCA)
  PES Modern College of Engineering, Pune
  Computer Applications · 2019 – 2022
• Bachelor of Science in Computer Science (B.Sc.)
  KBC North Maharashtra University, Jalgaon
  Computer Science · 2016 – 2019

Skills

• SQL Less than 3 months
• FastAPI Less than 3 months
• Prompt Engineering Less than 3 months
• AWS Lambda Less than 3 months
• Django Less than 3 months
• NumPy Less than 3 months
• Pandas Less than 3 months
• Flask Less than 3 months
• Seaborn Less than 3 months
• Plotly Less than 3 months
• JWT Less than 3 months
• Microservices Less than 3 months
• API Integration Understanding Less than 3 months
• CI/CD Less than 3 months
• Playwright Less than 3 months
• Workflow Orchestration Less than 3 months
• S3 Less than 3 months
• GitHub Actions Less than 3 months
• Event-Driven Architecture Less than 3 months
• Amazon DynamoDB Less than 3 months
• API Gateway Less than 3 months
• Celery Less than 3 months
• Scrapy Less than 3 months
• AWS Bedrock Less than 3 months
• AI Agent Integration Less than 3 months
• AWS Kinesis Less than 3 months

Tools / apps / platforms

• Docker 6 to 12 months
• Git 2 to 5 years
• Linux 1 to 2 years
• MySQL 1 to 2 years
• PostgreSQL 2 to 5 years
• Redis 2 to 5 years
• Selenium 2 to 5 years

Languages

• English Fluent Speak · Read
• Hindi Native / Bilingual Speak · Read · Write

Projects

• Green Energy Automation Platform ↗
  AWS, cloud-native ingestion systems

  Scalable backend platform for renewable energy telemetry, operational monitoring, and workflow automation for high-volume industrial datasets.

• AI Workflow Automation Platform ↗
  AWS Bedrock, Claude Sonnet, Claude Haiku, Celery, Redis

  Backend workflow system for automated operational workflows and communication handling with prompt optimization and distributed task processing.

• Healthcare Communication Workflow Automation ↗
  Retell AI, Twilio

  AI-assisted healthcare communication workflows for inbound and outbound clinic voice-agent interactions, with appointment scheduling, reminder systems, and real-time workflow execution pipelines.

Courses & certifications

• Designing Scalable RAG Pipelines ↗ · Scaler · 2026
• Forward Deployed Engineer ↗ · Scaler · 2026