AVAILABLE FOR WORK

Hello! I'm Shivam Jain. An Aspiring AI/ML

ENGINEER

I'm an AI/ML student focused on building intelligent, data-driven systems. I enjoy working across the machine learning lifecycle — from clean data pipelines and model experimentation to deployed inference services — with an emphasis on accuracy, interpretability, and real-world impact.

My Expertise

What I'm
Offering

I build end-to-end machine learning systems from data collection to deployed inference services, focusing on reliable, interpretable models.

01

Machine Learning

Building supervised and unsupervised models for classification, regression, and clustering with rigorous validation.

Scikit-learnXGBoostFeature Engineering
02

Deep Learning

Neural architectures from scratch — CNNs, RNNs, LSTMs, and Transformers with transfer learning.

TensorFlowPyTorchKeras
03

Computer Vision

Image classification, object detection, segmentation and real-time video inference pipelines.

OpenCVYOLOCNNs
04

NLP & LLMs

Text classification, sentiment analysis, NER and retrieval-augmented generation with transformers.

TransformersspaCyLangChain
05

Data Analysis

Exploratory analysis, statistical testing and clear visual storytelling that surfaces insights.

PandasNumPyMatplotlib
06

MLOps & Deployment

Containerized inference APIs, experiment tracking, and reproducible training pipelines.

FastAPIDockerMLflow
07

Data Engineering

Reliable ingestion and transformation pipelines that keep training and serving data consistent.

AirflowSparkSQL
08

Model Optimization

Quantization, pruning and inference tuning to cut latency and cost without losing accuracy.

ONNXTensorRTProfiling
My Tech Stack

What I Use

Portfolio

Selected
Work

ML systems taken past the notebook stage into something reproducible and deployable.

Deep Learning01

Chest X-Ray Classifier

CNN-based diagnostic aid classifying chest radiographs across 14 pathology labels with 0.89 mean AUC.

PyTorchDenseNetOpenCV
Computer Vision02

Real-Time Object Detection

Live multi-object detection pipeline running at 30 FPS with FastAPI inference service.

YOLOv8OpenCVFastAPI
NLP03

Review Sentiment Engine

Fine-tuned BERT for aspect-based sentiment analysis on e-commerce reviews.

TransformersBERTStreamlit
Machine Learning04

Time-Series Forecaster

LSTM and Prophet ensemble for multi-horizon demand forecasting.

TensorFlowProphetPlotly
My Journey

Where
I've Been

My academic path and practical experience pushing models from notebook to production.

2026

ML Research Assistant

University AI Lab

Multi-Agent Framework for Integrated Demand Forecasting, Inventory Risk Assessment, and Trend Optimization in Supply Chains

2023 — 2027

B.Tech, Computer Science (AI/ML)

Bennett University

Specializing in AI/ML with coursework in deep learning, computer vision, and NLP.

Get In Touch

LET'S WORK
TOGETHER

I'm here to help you bring your ideas to life. Whether you need a website, app, or just want to chat, let's connect and make something amazing together.

CONTACT

shivamjainqwer@gmail.com
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Shivam Jain

Join the Community on WhatsApp

@shivamjain

github/Shivam200427

Nudge

Personal AI assistant for Telegram/WhatsApp

ClinicalPilot

Multi-agent clinical decision support system

Endee

High-performance open source vector database

Multi-Sensor Fusion

RGB & Thermal object detection with attention fusion

Carya

Chest X-ray disease prediction & report generation

Nudge

Personal AI assistant for Telegram/WhatsApp

ClinicalPilot

Multi-agent clinical decision support system

Endee

High-performance open source vector database

Multi-Sensor Fusion

RGB & Thermal object detection with attention fusion

Carya

Chest X-ray disease prediction & report generation

Nudge

Personal AI assistant for Telegram/WhatsApp

ClinicalPilot

Multi-agent clinical decision support system

Endee

High-performance open source vector database

Multi-Sensor Fusion

RGB & Thermal object detection with attention fusion

Carya

Chest X-ray disease prediction & report generation

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Shivam Jain

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SHIVAM JAIN