Featured Experience
My Journey at a MarTech Company: From Curious Intern to Full-Stack Engineer
Built high-performance systems handling 150,000+ events per minute, architected scalable push notification services, and optimized critical performance bottlenecks achieving 30x improvements. Recipient of the Lemnisk Spot Award.
Personal Projects
AI-Powered Stock Trading Agent
Python, Flask, PostgreSQL, WebSocket, Claude API
Fully automated Indian equity delivery trading system that uses Claude AI for strategic decisions with real-time WebSocket market data processing. Features a position state machine, 8 hard-coded risk rules that AI cannot override, multi-dimensional scoring across 50+ stocks, concurrent thread architecture for scheduled trading and real-time execution, production dashboard, Telegram notifications, and cloud deployment on Railway.
Automated YouTube Content Pipeline (WealthCode)
Python, SQLite, FFmpeg, Claude API, YouTube Data API
End-to-end video production pipeline for a personal finance YouTube channel targeting Indian software engineers. Features a 9-stage state machine covering AI script generation, local TTS voiceover (Kokoro ONNX), animated visual rendering with Manim/Pillow, FFmpeg video assembly, and YouTube upload. Self-feeding topic engine researches trends and auto-queues content. Async Telegram-based review workflow. Cost: ~$0.10/video.
Automated YouTube Content Pipeline (HistoryPulse)
Python, SQLite, FFmpeg, Manim, Chatterbox TTS, YouTube API
Documentary-style history content pipeline producing 8-minute videos about Indian history. 16-stage pipeline with historical research sub-system that downloads books from Project Gutenberg/Internet Archive, extracts passages via AI chapter planning, and grounds all claims in source material. Features voice cloning (Chatterbox TTS) with per-scene intensity scoring, series-aware episode continuity, multi-language podcast generation (English + Telugu), and automated YouTube Shorts extraction.
Other Experience
Gojek - Frontend Development Intern
Summer 2022 | Internship
Contributed to Apsara design system using React.js and TypeScript. Optimized UI components with Radix library for better performance and developer experience.
Education
BITS Pilani, Hyderabad Campus
2023 Graduate | B.E. Computer Science | CGPA: 8.23
Relevant Coursework: Operating Systems, Database Systems, OOP with Java, Data Structures & Algorithms
Technical Skills
Backend
Java, Spring Boot, Node.js, Python, Flask
Architecture
Microservices, REST APIs, Event-driven systems, Pipeline orchestration
Data & Messaging
MySQL, Aerospike, PostgreSQL, SQLite, Apache Kafka
Cloud & DevOps
AWS (EC2, Lambda), Docker, Kubernetes (Devtron), Railway
Integrations & APIs
WebSocket, OAuth2, Telegram Bot API, YouTube Data API, Claude AI API
Security & Monitoring
RSA/AES Encryption, Prometheus, Grafana, Monit
Key Achievements
- Performance Optimization: Improved system throughput from 5K to 150K+ events per minute (30x improvement)
- System Architecture: Built scalable push notification service from scratch using Java Spring Boot
- End-to-End Builder: Independently designed and shipped 3 production systems (trading agent, 2 content pipelines)
- AI Integration: Built systems that use Claude AI for strategic decision-making with structured safety guardrails
- Mobile SDKs: Developed and maintained Android/iOS SDKs used by large-scale banking clients
- Infrastructure: Deployed applications on Kubernetes with monitoring and observability
- Recognition: Received Lemnisk Spot Award for outstanding contribution and dedication
Contact
Email: koteswaruduakula@gmail.com
LinkedIn: linkedin.com/in/koteswarudu-akula-7087921a4
GitHub: github.com/akula-koteswarudu