Full Stack Software Engineer

Summary

Software Engineer with a strong computer science foundation and a Masters degree in Computer Science from Arizona State University (GPA 3.93/4.0) and a Bachelors in CS from IIIT
Experience building scalable backend, full-stack, and distributed systems used in production environments serving millions of users
Currently working as a Software Developer at Capital Insurance Group, designing Spring Boot microservices and AWS-based pipelines processing 5M+ records with 99.9% uptime
Hands-on experience with cloud-native architectures, including AWS Lambda, DynamoDB, EC2, S3, and containerized deployments using Docker, Kubernetes, and Jenkins CI/CD, reducing deployment cycles from hours to minutes
Strong background in payments-related systems from work at Rocket Lawyer, contributing to reliable, user-facing payment workflows and platform modernization
Proven ability to own medium-to-large features end-to-end, collaborate cross-functionally, and operate production systems including incident investigation and hotfixes
Solid experience in Machine Learning and NLP, including building and evaluating BERT-based models achieving 95.4% accuracy for fake review detection
Conducted ML research at the India Meteorological Department, improving rainfall forecasting accuracy by 15% using BiLSTM with attention mechanisms
Built unique, high-impact projects, including:
Gmail AI Assistant Chrome Extension, integrating Google Gemini to generate intelligent email replies
Scalable Image Recognition Service on AWS, processing 500+ images/hour with auto-scaling and distributed messaging
Fake Reviews Detection System, leveraging GPT-generated data and advanced NLP architectures
Strong problem-solving background with 500+ LeetCode problems solved and experience as a problem setter for coding competitions
Comfortable working in high-ownership, fast-paced environments, focused on building reliable, maintainable systems with real-world impact

Expectations

Heres a **clear, professional, points-based answer** you can use for applications or recruiter forms:

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Opportunity to work on **high-impact, real-world problems** that affect users at scale
A role with **strong engineering ownership**, where I can take features from design to production
Exposure to **large-scale, distributed systems** and complex system design challenges
A team culture that values **collaboration, transparency, and technical excellence**
Emphasis on writing **clean, maintainable, and reliable code**
Chances to grow technically through **mentorship, feedback, and challenging projects**
A fast-paced environment that encourages **learning, experimentation, and innovation**
Clear alignment between **engineering work and business or customer impact**
Support for career growth toward **senior and leadership responsibilities**
An organization that values **quality, reliability, and long-term thinking**

Employment Preferences

Expected Base Salary

**0,000 USD

Expected Total Compensation

**0,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree

Experience

Skills

• Software Engineer
• Backend Engineer
• Full Stack Engineer
• Platform Engineer
• Site Reliability Engineer
• Machine Learning Engineer
• Data Scientist
• Distributed Systems
• Microservices
• Cloud Computing
• AWS
• EC2
• S3
• Lambda
• DynamoDB
• RDS
• CloudFormation
• Kubernetes
• Docker
• CI
• CD
• Jenkins
• GitHub Actions
• Observability
• High Availability Systems
• Backend Services
• Java
• Spring Boot
• Python
• C++
• JavaScript
• TypeScript
• REST APIs
• GraphQL
• SQL
• NoSQL
• PostgreSQL
• MongoDB
• Data Pipelines
• ETL
• Machine Learning
• Natural Language Processing
• BERT
• Deep Learning
• TensorFlow
• PyTorch
• Scikit-learn
• Large-Scale Systems
• Infrastructure Engineering
• Payments Systems
• FinTech
• Reliability Engineering
• Monitoring
• Logging
• Incident Response
• Automation
• Agile
• System Design