Machine Learning Engineer // AI Engineer // Data Scientist

Raghav Sharma

Practical AI systems for NLP, vision, and predictive analytics.

I build practical AI and ML systems across NLP, computer vision, and predictive analytics - turning datasets into deployable workflows, measurable model gains, and business-ready insights.

View Projects+Download Resume GitHub

AI System Dashboard

01

Parse

02

Embed

03

Rank

04

Shortlist

Active Preview

Resume Intelligence Engine

Embedding similarity, ranking, and screening workflow

1,200+/day

supported requests

6+

ML Systems Built

10K+

Records Analyzed

95.6%

Best Model Accuracy

1,200+/day

Requests Supported

ML Engineering Workflow

How I Build ML Systems

From raw data to evaluated models and deployable dashboards, my projects follow a clear engineering workflow.

AI Engineering Workflow

Problem to Dashboard/API

A practical path for turning raw records into evaluated, explainable, and presentation-ready ML outputs.

Problem

Data

Features

Model

Evaluation

Dashboard/API

Selected AI Systems

Selected AI Systems With Measurable Impact

A closer look at the ML systems I built - including the problem, model workflow, technical stack, and measurable outcome.

NLP / Ranking System

AI Resume Screening System

Problem: Recruiters manually screen large resume batches, making shortlisting slow and inconsistent.

Solution: Built an NLP ranking workflow using embedding similarity to match resumes against job requirements.

Model workflow

case study view

01Resume Upload

02Text Parsing

03Embeddings

04Similarity Ranking

05Shortlist

Main result

94%

matching accuracy lift

5,000+ resumes processed

3 hours to 8 minutes screening time

1,200+ requests/day supported

PythonNLPTensorFlowEmbeddings

Case Study GitHub Demo

Technical Stack

Skills Recruiters Can Map To Work

Modeling

ClassificationRegressionRandom ForestXGBoostCross-Validation

AI Systems

NLPCNNsTransformersTensorFlowPyTorch

Data & Delivery

PandasNumPyEDASHAPDockerAWSREST APIsStreamlit

Experience

Internship Work

Machine Learning Intern

Unified Mentor

Jan 2026 - May 2026

Developed ML workflows across 5+ datasets with feature engineering, training, and evaluation in Python.

Improved model evaluation efficiency by 30% through optimized validation pipelines.

Analyzed 10K+ records and improved model stability across three training iterations.

AI / ML Intern

Evosta Ventures

Feb 2026 - Mar 2026

Conducted ML experiments across 4+ datasets and improved preprocessing consistency by 25%.

Evaluated models using accuracy, precision, recall, and F1-score.

Maintained structured experiment tracking for reproducible model results.

Recognition

Credentials

Top 1100 / 32,000 - Amazon ML Hackathon 2025

AWS Certified Solutions Architect - Associate

IBM Adroit Foundation - Generative AI

Coursera - Applied Machine Learning in Python

Contact

Build Something Data-driven

Reach out for ML internships, AI engineering roles, data science work, or project collaborations.

@raghav140476@gmail.comOpen LiLinkedInOpen GiGitHubOpen Ph+91 9079211233Open