YASH MAHESHWARI

I’m

BUILDING INTELLIGENCE

LOCATION INDIA / Open to Remote

STATUS Open to Opportunities

PYTHON JAVA C SQL FASTAPI SUPABASE DOCKER GIT GITHUB POWER BI VS CODE SCIKIT-LEARN TENSORFLOW PANDAS NUMPY RAG LLMS NLP MATPLOTLIB LANGCHAIN LANGGRAPH MCP LEADERSHIP COLLABORATION COMMUNICATION PROBLEM SOLVING PYTHON JAVA C SQL FASTAPI SUPABASE DOCKER GIT GITHUB POWER BI VS CODE SCIKIT-LEARN TENSORFLOW PANDAS NUMPY RAG LLMS NLP MATPLOTLIB LANGCHAIN LANGGRAPH MCP LEADERSHIP COLLABORATION COMMUNICATION PROBLEM SOLVING

ABOUT

I engineer intelligence. With a deep focus on Machine Learning and AI, I build systems that learn, adapt, and solve complex problems.

Specializing in Large Language Models, RAG pipelines, and scalable backend architectures. My work bridges the gap between theoretical AI and production-grade software.

02+

YEARS EXPERIENCE

15+

PROJECTS COMPLETED

DOWNLOAD RESUME

TECH STACK

Skills & Technologies

Technologies I use to craft digital experiences

Python

Java

SQL

FastAPI

Supabase

Docker

Git

GitHub

Power BI

VS Code

MCP

Scikit-learn

TensorFlow

Pandas

NumPy

RAG

LLMs

NLP

LangChain

LangGraph

Matplotlib

Leadership

Collaboration

Communication

Problem Solving

CAREER JOURNEY

Professional Experience

Orydle Current

Backend Engineer (Intern)

Remote Jan 2026 – Present

Building a next-generation AI-powered cloud IDE, focusing on high-performance backend systems and intelligent code assistance.

Building an AI-powered cloud IDE by integrating intelligent code completion, contextual suggestions, and semantic search using RAG and vector indexing.
Architected async backend systems for real-time code analysis, indexing, and retrieval using FastAPI and PostgreSQL.
Implemented distributed workflow execution with checkpointing and WebSocket streaming for enhanced collaboration.
Improved backend reliability and throughput by 30% through optimized async design patterns and modular architecture.

Python FastAPI PostgreSQL RAG Vector Indexing Distributed Workflows

devx AI labs Completed

AI/ML Intern

Internship Dec 2025 – Jan 2026

Spearheaded the development of a demand forecasting engine, bridging the gap between theoretical ML models and production-grade backend logic.

Engineered a hybrid forecasting system (Time-Series + Heuristic) for D2C inventory, boosting accuracy by ~70%.
Implemented probabilistic inference (P10/P50/P90) to handle supply chain uncertainty and safety stock optimization.
Deployed FastAPI inference endpoints, enabling real-time model serving with sub-100ms latency.