Open to AI Engineer / ML Engineer opportunities · Ahmedabad

Yashpal SinghAI Engineer | Building Intelligent Applications

Building production AI products and intelligent automation systems.

Computer Science graduate with experience in Unity development and a transition into AI/ML. Built projects across RAG, computer vision, and model experimentation using modern AI tooling.

PythonFastAPILangChainPyTorchRAGLLMs

View Work Resume Contact

1Production Project

15+Technologies

8AI Features Built

2+Years R&D

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Career

Experience

From real-time 3D simulation to applied AI — model integration, RAG systems, and computer vision.

Designed and built Retrieval-Augmented Generation (RAG) systems, combining LLM workflows with vector search to ground responses in retrieved context.
Built and experimented with model training, fine-tuning, and inference workflows using PyTorch and Hugging Face.
Built computer vision solutions using OpenCV and YOLO-based models for object detection and image-processing tasks.

Stack

PythonPyTorchHugging FaceLangChainVector DatabasesOpenCVYOLO

Featured Work

AI Projects

Production systems built end-to-end — from dataset curation to deployed APIs.

ATS OptimizedAI-PoweredFreemium SaaS

👑

Live2026

CVKing

AI Resume Builder, Resume Analyzer & Free CV Maker

A full-stack SaaS platform that helps students and professionals build ATS-friendly resumes using AI. Covers the complete job-application workflow — from a blank form to a downloadable, recruiter-ready PDF.

🤖

AI Resume Optimizer

Rewrites bullets with stronger action verbs and impact framing.

✅

ATS Score & Formatter

Automatically formats and scores resumes to pass ATS filters.

👁️

Live Preview Editor

Resume updates render in real-time as users type — no reloads.

Next.jsJWT AuthbcryptRazorpayGoogle OAuth

Live Demo

RAG PipelineSelf-HostedModular Design

🧠

Open Source

Billo AI

Retrieval-Augmented Generation (RAG) Pipeline

An end-to-end document-intelligence pipeline that ingests PDFs, generates embeddings, and answers questions over private documents — built as two decoupled services, not a single notebook script.

🧩

Modular Architecture

Ingestion and retrieval run as independent, decoupled stages.

🗄️

Chroma Vector Persistence

Local vector store — no managed DB dependency.

⚡

FastAPI Backend

Typed, async REST endpoints for ingestion and query.

PythonFastAPILangChainChromaDBSentence-Transformers

View on GitHub

Capabilities

Skills & Stack

AI/ML core, with full-stack range to build and ship it end-to-end.

🤖

AI / ML

PythonTensorFlowPyTorchMachine LearningDeep Learning

✨

LLM & AI

LangChainRAGHugging FaceFine-Tuning

👁️

Computer Vision

OpenCVYOLO

📊

Data

PandasNumPySQL

⚙️

Development

FastAPIGitLinux

System Design

AI Architecture Showcase

How I think about end-to-end ML systems — from raw data to monitored production.

📥

Data Layer

Ingestion & Processing

Sources

APIs, databases, files, streams

Processing

Cleaning, validation, feature engineering

Versioning

DVC data pipelines + S3 storage

Monitoring

Schema validation + drift detection

Tools

DVCPandasApache KafkaS3Great Expectations

Get in Touch

Let's Work Together

Open to AI Engineer / ML Engineer opportunities. Let's talk.

Available Now

Open to AI Engineer / ML Engineer opportunities

Actively looking for AI/ML Engineering roles. Response time: <24h.

rk7129357@email.com

GitHub

github.com/YashpalSingh1234

www.linkedin.com/in/yashpal-singh-65810b241/

Location

Ahmedabad