Aman Kashyap
e: ak8823689@gmail.com p: +91 9509040857
LinkedIn: www.linkedin.com/in/aman-kashyap-in
Education
Indian Institute of Technology Bombay
Bachelor of Technology in Computer Science and Engineering (2019 - 2023)
Work Experience
Software Engineer — Back-End Development, Cloud Architecture, AI Integration June 2023 - Present
Ciklum
• Engineered and integrated AI-powered lead generation system using Smartlead.ai and OpenAI API, creating
personalized email campaigns based on web-scraped data, increasing qualified lead conversions by 35% and sales
pipeline efficiency by 28%.
• Developed automated meeting recovery solution utilizing Bland AI for intelligent voice calling and dynamic
rescheduling, reducing client churn by 42% from missed appointments.
• Architected and deployed serverless microservices using Node.js, AWS Lambda, and API Gateway to build
scalable real-time analytics dashboard, handling 500+ concurrent users with 99.9% uptime.
• Implemented advanced distributed caching strategy with Redis, resulting in 67% reduction in database load and
300ms average response time improvement during peak traffic periods.
• Optimized data warehouse architecture using Amazon Redshift and data lake integration with S3, decreasing
API response times by 75% and enabling real-time business intelligence capabilities.
• Designed and implemented enterprise-grade security protocols with Amazon Cognito, JWT authentication,
and role-based access control, ensuring SOC2 compliance and passing all security audits.
• Built fault-tolerant event-driven architecture with AWS SQS and Step Functions, processing 1M+ daily
transactions with automatic retry mechanisms and error handling.
Key Projects
Enterprise Employee Management Platform — Full Stack Development, Cloud Deployment 2024
• Architected and developed scalable RESTful API microservices using Express.js and TypeScript for compre-
hensive workforce management with role-based access control and multi-tenant architecture.
• Implemented OAuth 2.0 authentication, JWT tokens, and RBAC security model to ensure enterprise-grade
data protection while maintaining compliance with GDPR and industry standards.
• Engineered modular system components including automated onboarding workflows, real-time project tracking,
digital timesheet management, and multi-level approval processes, deployed on AWS EC2 with auto-scaling
capabilities.
Compiler Design and Implementation — Systems Programming, Algorithm Optimization 2022
• Developed production-quality compiler for C language subset, demonstrating advanced proficiency in systems
programming, language theory, and performance optimization.
• Engineered efficient lexical analyzer and parser using Lex and Yacc, implementing syntax-directed translation
and abstract syntax tree (AST) generation, reducing compilation time by 20% compared to industry benchmarks.
Technical Skills
Languages JavaScript, TypeScript, C++, Python, HTML5/CSS3, SQL, Bash
Frameworks Node.js, Express.js, Next.js, React.js, REST API, GraphQL
Databases PostgreSQL, MySQL, MongoDB, DynamoDB, Redis, Amazon Redshift
Cloud & DevOps AWS (Lambda, API Gateway, EC2, S3, SQS, DynamoDB, Step Functions, Cognito),
Docker, Kubernetes, CI/CD, SonarQube
Certifications
AWS Certified Cloud Practitioner — AWS CLF-C02 Date Earned: Dec 2023
