Python • Golang • Kubernetes • Cloud • AI
I’m a Senior Software Engineer with 8+ years of experience building scalable, production-grade systems across Python, AI/ML platforms, Golang, and cloud-native infrastructure.
I enjoy working at the intersection of software engineering and applied AI, turning complex ideas into reliable, high-impact solutions.
- Python at scale – high-performance services, concurrency, optimization, testing, and clean architecture
- AI / LLM Systems – RAG pipelines, evaluation frameworks, golden datasets, agentic workflows, autonomous testing, fine-tuning
- Golang – backend services, tooling, concurrency-driven systems, and cloud integrations
- Kubernetes & Cloud-Native – containerized workloads, CI/CD, Helm, Docker, and production deployments
- System Design – performance tuning, reliability, testability, and maintainability for long-running systems
- Strong believer in engineering rigor for AI systems — testing, metrics, evaluation, and guardrails matter
- Prefer simple, explicit designs over clever but fragile abstractions
- Passionate about automation: if it’s repetitive, it should be codified
- Value clear documentation and readable code as much as raw performance
- Vibe coding: You are responsible for every line of code even if it is generated by the best AI.
- Languages: Python, Go, Ruby
- AI/ML: LLMs, RAG, LangGraph, fine-tuning, QA & evaluation pipelines
- Cloud & Infra: Kubernetes, Docker, Helm, CI/CD (Jenkins, GitHub Actions), Linux
- Dev Practices: Testing, performance optimization, distributed systems
- AI engineering experiments and production-oriented patterns
- Autonomous agents, RAG systems, and evaluation tooling
- Backend services and infrastructure-as-code
- Clean, well-documented code focused on real-world use cases
- 🧠 a digital memory tool to remember information using a whatsapp interface
- 📊 a tool to generate golden dataset by finetuning a model
- 🔍 a deep research agent to help you research a specific website
- 💼 LinkedIn: manalilatkar
- 💬 I’m always interested in challenging problems around scalable systems, AI engineering, and cloud-native platforms.