Experienced in backend systems and distributed computing, machine learning systems and model deployment, production-grade LLM and agentic AI workflows, and infrastructure-driven MLOps at scale. Open to relocate.
🌐 www.himudigonda.me • 🧑💼 linkedin.com/in/himudigonda • 📧 himudigonda@gmail.com • 🐙 github.com/himudigonda
Languages
Go, Python, C++, Java, SQL, CUDA
AI & ML
Agentic workflows including multi-agent orchestration and MCPs, LLM fine-tuning and alignment, RAG, PyTorch, TensorFlow, HuggingFace, Transformers, ONNX
Infrastructure
AWS (EKS, CDK, Lambda, SageMaker), Kubernetes, Docker, Terraform, GCP
Systems
Distributed systems, event-driven architectures (Kafka, Kinesis, SQS/SNS), gRPC-based services, MLOps pipelines
Data
PostgreSQL, DynamoDB, Redis, Elasticsearch, vector databases (Pinecone, Chroma, Weaviate, FAISS)
- Nature Portfolio Author
Scientific Reports - IEEE Author
Research collaborations with IIIT Kerala and IIT Kharagpur - Scholarships and Recognition
- Herbold Scholarship 2024
- ASU Fellowship 2023
- SRM Merit Scholarship 2019–2023
- ML Engineer roles
- LLM and Agentic AI Engineer roles
- Backend Engineer roles
Interested in fast-paced teams building real production systems under real constraints.



