GenAI
Agentic AI & RAG
Langchain, Agentic AI, RAG Agents, Langflow, and VectorDBs (Chroma/Pinecone).
LLMs & Integration
Large Language Models, Huggingface, Claude Tools, and prompt engineering.
Natural Language Processing
Transformers & BERT
Encoders-decoders architectures, BERT, and advanced transformer models.
Sequential Modeling
LSTM and RNN implementations for time-series and sequential data.
Backend Development
DevOps & Cloud
Docker, AWS, CI/CD Pipelines, and Cloudflare for scalable deployments.
API & Data
FastAPI, Postgres, and MongoDB for high-performance backend systems.
Software Development
Core Engineering
Data Structures and Algorithms, Object-Oriented Programming (OOPs).
System Design
DBMS concepts, SQL optimization, and architectural patterns.
Data Science
Analytics & Stats
Statistics, Python, Recommendation Systems, and Time Series analysis.
Scientific Stack
Keras, Pytorch, Scikit-learn, SQL, and TensorFlow for data-driven insights.
Deep Learning
ANN & CNN
Neural network design: ANN, CNN architectures and implementation.
SOTA Architectures
AlexNet, VGGNet, ResNet, and InceptionNet implementation.
Machine Learning
Core Algorithms
Regression, Classification, and Clustering implementations.
Ensemble Methods
Bagging, Boosting, and advanced ensemble techniques.
Data Analytics
Business Intelligence
Tableau and Business Analytics for data visualization and decision support.
Computer Vision
Object Detection
RCNNs, Faster-RCNN, Tfod2.x, Detectron2, and Yolov5.
Vision Engineering
OpenCV, Image Annotation, and advanced computer vision tasks.
Research Skills
Meticulous and use first principles thinking when approaching to any problem.
Ability to analyse, document and construct research papers to a great level.
Take complete ownership of work to develop research projects and work with teams when required.