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YASH MAHESHWARI

Iā€™m 

BUILDING INTELLIGENCE

LOCATION INDIA / Open to Remote
STATUS Open to Opportunities
SCROLL DOWN Explore My Work ā†“
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 Yash

ABOUT

I build agentic AI systems that plan, reason, and execute reliably in real workflows.

My focus is AI infrastructure: scalable backend services, orchestration pipelines, and production-ready RAG systems built for speed, reliability, and growth.

02+

YEARS EXPERIENCE

15+

PROJECTS COMPLETED

DOWNLOAD RESUME

TECH STACK

Skills & Technologies

Technologies I use to craft digital experiences

Python
Java
C
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 ā€“ 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 ā€“ 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.
Python Pandas NumPy Time-Series Analysis FastAPI Docker

SELECTED PROJECTS

Claimwise

CLAIMWISE

AI INSURANCE AUTOMATION

Wealthify

WEALTHIFY

INTELLIGENT FINANCE TRACKER

Jasper Finance

JASPER FINANCE

TERMINAL FINANCIAL RESEARCH AGENT

StockIQ

STOCKIQ

INVENTORY & DEMAND FORECASTING INTELLIGENCE

LET'S CONNECT

Contact Illustration

Have a question or want to work together? Drop me a message and I'll get back to you as soon as possible!