I build
AI/ML Systems

0%

AI/ML Engineer with Software Engineer Skills

Vedant
Pancholi

Building real-time pipelines
Vedant Pancholi
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01 — THE BEGINNING

how it all started.

I Started building
Intelligent Systems
Four years ago
Coz' I wanted to
Solve
COMPLEX PROBLEMS on my own :)

Graduated with a B.Tech in Computer Science and Engineering from Nirma University. That's where I built my foundation in software engineering, algorithms, and the core mechanics behind machine learning models.


Currently working full-time at Matter, where I combine data engineering with robust system design. Beyond my day job, I actively engineer end-to-end AI platforms ranging from RAG chatbots and RL environments to NLP-driven business insight engines.


I am passionate about bridging the gap between AI concepts and production reality. I enjoy architecting intelligent systems that don't just live in Jupyter notebooks, but are powerfully engineered to automate and solve real-world problems.

I'm an open book.
Here is the unfiltered timeline of how I figured things out.

It started as making things.

Then it became a way of thinking.

Architecture came later.

Vedant Pancholi

Vedant Pancholi
Code + Coffee addicted

The Journey of Experience.

Executive Member

Computer Society of India

Nov 2023 - Jan 2026
What I Did

Organized tech events, workshops, and coding competitions for the university tech community.

What I Learned

Developed strong leadership, event management, and technical communication skills while growing the tech community.

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ISC2 Candidate

ISC2

Jun 2024 - Jan 2026
What I Did

Pursued foundational knowledge in cybersecurity, covering security principles, access controls, and network security.

What I Learned

Built a strong understanding of essential cybersecurity practices, threat modeling, and risk management frameworks.

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UI/UX Core Team

GDG On Campus

Sep 2024 - Present
What I Did

Collaborated with developers to design intuitive user interfaces and experiences for campus initiatives and applications.

What I Learned

Learned how to bridge the gap between design and engineering, utilizing modern design tools and gathering user feedback.

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Software Eng Intern

InfoLabz

Ahmedabad
What I Did

Contributed to software engineering projects and development initiatives, assisting in building core application features.

What I Learned

Acquired practical knowledge in professional software development lifecycles, Agile methodologies, and team collaboration.

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Data Engineer Intern

Matter | Internship

Jan 2026 - Jul 2026
What I Did

Focused on building reliable data pipelines and supporting data-driven decisions, with responsibilities in system engineering and cloud infrastructure.

What I Learned

Gained hands-on experience with Python, Databricks, and deploying enterprise-grade ETL pipelines to the cloud.

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Data Engineer

Matter | Full-time

Jul 2026 - Present
What I Did

• Designed and built scalable end-to-end data pipelines for high-volume data ingestion and transformation using Azure, Azure Data Factory, ClickHouse, and Rust.

• Collaborated with senior engineering leadership on Core ML Engineering initiatives, deploying production-grade machine learning models.

What I Learned

Mastered high-performance data processing with Rust and optimized analytical queries in ClickHouse for massive datasets.

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Best Work

Welcome to my project Checkpoints.

Checkpoint 1: ReMorph

ReMorph

Python, FastAPI, OpenEnv, RL, GRPO

OpenEnv RL environment that trains agents to repair changed routes, broken payloads, and recoverable auth failures.

GitHub
Checkpoint 2: MCP Weather

MCP Weather AI

Python, MCP Protocol, AI Server

Built a modular AI server using the Model Context Protocol (MCP) to expose weather tools for intelligent agents.

GitHub
Checkpoint 3: RevSense

RevSense

Python, FastAPI, spaCy, HuggingFace, Redis, Gemini

End-to-end AI platform that extracts, categorizes, and visualizes customer reviews into actionable business insights using NLP and LLMs.

GitHub
Checkpoint 4: Uptime

Uptime-Status

Docker, Kubernetes, Argo CD, Next.js

Shipped a cloud-native uptime monitor enabling real-time alerts and 99.9%+ uptime.

GitHub
Checkpoint 5: AgriExpert

AgriExpert

Python, React, LangChain, Pinecone, RAG

Multilingual chatbot delivering expert agricultural knowledge to farmers using Retrieval-Augmented Generation.

GitHub
Checkpoint 6: Brain-Tumor

Brain-Tumor-Seg

Python, TensorFlow, OpenCV, Keras

Lightweight U-Net model for MRI-based brain tumor segmentation, achieving 89% IoU and 99% pixel accuracy.

GitHub

Tech Arsenal.

Languages

PythonC++DartJavaScriptSQLRust

Version Control & Tools

GitGitHubCollaborative DevelopmentWinSCPSeleniumETL

Frameworks & APIs

FastAPIFlaskScikit-learnPandasNumPySeabornTensorFlowPyTorchOpenCVKeras

Machine Learning & AI

Supervised LearningFeature EngineeringNLPGridSearchCVSentiment AnalysisTransformersSentence-BERTspaCyLangChainPineconeRAGModel TuningClusteringGeminiReinforcement LearningGRPOMCP ProtocolOpenEnv

Databases & Search

MySQLMongoDBRedisClickHouse

Data Analytics

TableauData VisualizationData AnalysisBusiness Intelligence

Cloud & Deployment

AWS EC2AWS S3AWS SageMakerAzureAzure Data FactoryDatabricksVercelNginxDockerKubernetes

Web & App Development

React.jsNext.jsFlutterHTMLCSSTailwindREST API

Say
Hello.

Ready to build something amazing?