Skills | Bijaya Kumar Pariyar

Proficiency Overview

Self-assessed proficiency levels based on project experience

Programming Languages

Python90%

SQL80%

JavaScript65%

Java60%

PHP50%

Machine Learning

Classification92%

Regression90%

Feature Engineering90%

Time Series Forecasting88%

SHAP Explainability88%

Anomaly Detection86%

Clustering & Segmentation85%

AI, RAG & LLM Orchestration

RAG Pipelines90%

Vector Search (pgvector / FAISS)88%

Multi-LLM Orchestration & Fallback87%

LLM Integration (Bedrock / Gemini / OpenAI)86%

Embeddings & CrossEncoder Reranking85%

Prompt Engineering84%

Frameworks & Libraries

Scikit-learn92%

Pandas / NumPy90%

XGBoost / LightGBM88%

FastAPI85%

sentence-transformers85%

Flask80%

Databases & Vector Stores

FAISS88%

Qdrant85%

PostgreSQL (pgvector)80%

SQLite / MySQL78%

Redis75%

Deployment & DevOps

REST API Design88%

Git / GitHub85%

JWT Authentication82%

Docker80%

Rate Limiting / CORS / SSRF80%

Cloud & Infrastructure (AWS)

AWS Bedrock (Nova / Titan)87%

ECS Fargate / ECR83%

GitHub Actions CI/CD85%

AWS Textract / S3 / IAM82%

ARQ Async Job Queue82%

Architecture & Design Patterns

Async Microservices (asyncio)86%

Circuit Breaker / Fault Tolerance85%

Multi-Tier Caching83%

Deterministic Rule Engines85%

PII-Safe Structured Logging82%

Tools & Environment

Python

PostgreSQL

Docker

Git

GitHub

VS Code

Jupyter

Groq API

FastAPI

Flask

Redis

FAISS

Qdrant

Scikit-learn

LightGBM

XGBoost

Pandas

NumPy

SHAP

Prophet

Optuna

AWS Bedrock

Textract

ECS Fargate

ECR

pgvector

ARQ

Pydantic v2

Gemini

OpenAI

GitHub Actions

JWT / HMAC

SSRF / CORS

Linux / Bash

Kaggle

Complete Technical Stack

Every tool below is one I've actually shipped or built with, in production work or open-source projects

Languages

Python 3.11+ SQL JavaScript PHP Java C

AI / LLM Stack

RAG pipelines LLM orchestration AWS Bedrock (Nova) Gemini OpenAI GPT-4o Titan v2 embeddings sentence-transformers CrossEncoder reranking prompt engineering fallback chains

ML & Data Science

Scikit-learn XGBoost LightGBM Prophet Statsmodels Pandas NumPy SHAP LIME Optuna SMOTE

ML Techniques & Algorithms

Classification Regression Time Series Forecasting Random Forest Gradient Boosting KMeans / DBSCAN Agglomerative Isolation Forest LOF / One-Class SVM RFM Analysis Cross-Validation Hyperparameter Tuning

Web & APIs

FastAPI Pydantic v2 asyncio ARQ Uvicorn Flask Jinja2 REST / OpenAPI webhooks

Cloud & DevOps

AWS Bedrock AWS Textract AWS S3 ECS Fargate ECR IAM Docker GitHub Actions boto3

Databases & Stores

PostgreSQL 15 pgvector (HNSW) Redis asyncpg SQLAlchemy SQLite FAISS Qdrant

Document Processing

PyMuPDF pdfplumber PyPDF2 pdf2image Pillow Textract OCR ReportLab

Security

JWT (HS256) HMAC-SHA256 SSRF defense PII redaction slowapi rate limiting CORS

Architecture & Patterns

Circuit breaker Async job queue Multi-tier caching Multi-LLM fallback Fault-tolerant pipelines Graceful degradation

Visualization

Matplotlib Seaborn Plotly PCA t-SNE

Currently Exploring

What's on my learning roadmap right now

GraphRAG

Knowledge graph-enhanced retrieval for complex multi-hop reasoning.

LLM Fine-tuning

LoRA/QLoRA fine-tuning strategies for domain-specific LLM adaptation.

Agentic AI

Multi-agent orchestration and tool-calling patterns for autonomous AI workflows.

Kubernetes

Container orchestration for scaling production ML inference services.

Skills & Expertise