Core AI & LLM
- Large Language Models (LLMs)Deployed in production at DRDO and Leapon
- RAG ArchitecturesShipped multiple production systems
- Generative AIUsed daily across all recent roles
- Prompt EngineeringCore part of every LLM project
- Fine-Tuning (LoRA / PEFT)Applied on HuggingFace models
- Transformer ArchitectureImplemented LLaMA 3 from scratch
- NLPUsed across multiple projects
Frameworks & Orchestration
- LangChainPrimary orchestration framework
- OllamaUsed for local LLM deployment at DRDO
- HuggingFace TransformersModel loading, fine-tuning, inference
- PyTorchBuilt models and architectures from scratch
- TensorFlowUsed in early CV and research projects
- FastAPIBackend for AI product APIs
- DjangoProduction backend at Leapon
Vector & Graph Databases
- FAISSUsed in GenieFile RAG pipeline
- Neo4jDeployed Knowledge graph in Giggr and other projects
- MySQLProduction DB at Leapon
- PineconeUsed in LLM QA Chatbot project
- ElasticsearchBuilt 1.3M+ institute API at Giggr
Cloud & Infrastructure
- Google Cloud PlatformMigrated full production stack to GCP
- Amazon Web ServicesUsed across multiple production systems
- GitHub Actions (CI/CD)Used at Leapon and Giggr
- Microsoft AzureUsed at Maersk for ML pipelines
Languages
- PythonPrimary language across all roles
- JavaScriptUsed at Giggr and portfolio
- SQLProduction queries at Leapon and Maersk
- JavaAcademic and systems work at Maersk
- C++Academic background
ML & Data
- Pandas / NumPyUsed in every data project
- Deep LearningCNNs, autoencoders, Siamese nets
- Computer Vision (OpenCV, YOLO)87.4% accuracy on YOLO at Giggr
- scikit-learnClustering and ML models at Maersk
- PySparkLarge-scale data at Maersk
- MLflowExperiment tracking