Empowered by Gemini & Claude AI models

Get More Interviews With AI-Powered Resume Optimization

Analyze, fix, optimize, and tailor your resume in minutes. Unlock hidden keywords, fix phrasing issues, and bypass ATS screeners.

Drag & drop your resume file here

Supports PDF, DOCX, and TXT (Max 5MB)

Frontend Engineer matched Google (ATS: 91%)Data Scientist matched Meta (ATS: 87%)Full-Stack Developer matched Stripe (ATS: 94%)ML Systems Engineer matched Netflix (ATS: 93%)Product Manager matched Amazon (ATS: 89%)Frontend Engineer matched Google (ATS: 91%)Data Scientist matched Meta (ATS: 87%)Full-Stack Developer matched Stripe (ATS: 94%)ML Systems Engineer matched Netflix (ATS: 93%)Product Manager matched Amazon (ATS: 89%)
Direct Route To Interviews

How ResumeCopilot Optimizes Your Journey

Three simple, automated phases to transform your professional profile and bypass ATS barriers.

01

Upload Profile

Drag and drop your PDF or Word document. Our heuristic parser extracts raw text, segments layout zones, and maps credentials instantly.

Supports PDF, DOCX, TXT
02

Deep AI Audit

Receive instant subscores on formatting, keyword density, and phrasing. Fix weak verbs and auto-rephrase bullets to highlight quantifiable impact.

Powered by Gemini & Claude
03

Land Interviews

Track status targets on your Kanban board, generate custom tailored cover letters, and prepare with live mock interview session reviews.

94% Recruiter Response Rate

Complete AI Career Copilot

Our platform does more than score resumes. We assist your entire job search pipeline.

ATS Analyzer Engine

Get scored instantly across formatting, keyword density, and grammar. View detailed bullet suggestions in real-time.

Job Description Matcher

Paste the target job description to verify match score, find missing skills, and instantly optimize keywords.

One-Click AI Rewrite

Use the "Fix Everything" utility to convert passive phrasing into high-impact, metric-driven statements.

Cover Letter Generator

Create customized letters tailored to specific JD demands. Choose between formal, professional, or creative options.

Application Tracker

Organize your pipeline with our integrated Kanban board. Track interviews, metrics, and application conversions.

Mock Interview Copilot

Prepare with tailored HR and technical questions based on your background, with interactive answer grading.

+42%

Interview Callback Increase

Optimized profiles match ATS parameters directly, leading to more recruiter callbacks.

15,000+

Resumes Scanned & Audited

Trusted by candidates across major engineering and tech hubs globally.

10+ Hours

Saved Per Application Week

No manual re-writing, formatting checks, or cover letter drafting blockages.

Interactive Scanner Simulator

ATS Auditor & Fix Demo

Experience how our real-time audit engine scans resumes, flags issues, and suggests optimized updates. Click the checks below to interactively optimize the candidate's score.

Audit Checklist

Simulated Scanner Console

ATS Audit Diagnostic Report

72%
Current Score
NEEDS WORK (MEDIUM)
Target Job Posting Keywords

We scanned the target job profile and identified the following keyword compliance checkmarks:

TypeScript FastAPI / Python⚠ Docker (Missing)⚠ CI/CD Pipelines (Missing)⚠ AWS (Missing)
AI Suggestion: Your resume lacks standard keywords related to containerization and deployment. Adding details about container deployments in pipelines boosts match relevance instantly.

Ready to optimize your actual resume score for free?

High-Fidelity Output Previews

Designed for ATS,
Perfected for Humans

ResumeCopilot generates industry-standard, high-scoring structures that bypass automated gatekeepers while looking stunning to recruiters. Customize the accent color theme below to preview the output.

Accent Color Theme
resume_preview_tech.pdf100% ATS Optimized

Jhon Wick

AI/ML & Data Science Engineer

SUMMARY


Systems Engineer with a strong foundation in statistical learning, linear algebra, and neural network optimization parameters (1.5M+ weights trained). Proven track record in translating theoretical ML frameworks into production-ready systems, achieving 99.4% precision in deep classifiers. Expert in architecting intelligent automation ecosystems (n8n, LLM-orchestration, webhooks) alongside streamlined MERN/FastAPI microservices. Combines high-caliber problem-solving (GATE AIR 2604 in Data Science & AI) with clean, containerized deployment (Docker) to bridge advanced data math with efficient full-stack delivery.

WORK EXPERIENCE


GoogleApr 2026 - June 2026
AI Automation InternUSA
  • Engineered automated workflows using n8n, integrating multi-step processes across platforms like OpenAI, Google Sheets, and Telegram.
  • Built and deployed custom AI Agents utilizing webhooks, conditional logic, and HTTP requests to automate repetitive business tasks, resulting in a 25% increase in operational efficiency.
  • Developed real-world applications (e.g., Lead Capture systems) through No-Code and Vibe Coding platforms including Lovable, Bolt, and Glide, resulting in a 25% increase in operational efficiency.

EDUCATION


MIT B.tech in Computer Science - 7.8/10
2018 - 2023
Technical University of Munich M.tech in AIML - 8.9/10
2026 - 2028

PROJECT


Enterprise Customer Attrition Risk Predictor2019 - 2020
  • Model Calibration over Raw Metrics: While an XGBoost model achieved higher overall accuracy (80.41%), a Tuned Random Forest Classifier (B = 300 trees) was chosen for deployment due to its superior Recall rate of 74.00% (vs. XGBoost's 53.00%) and balanced F1-score (0.63). This explicitly minimizes costly False Negatives.
  • Data-Driven Risk Factor EDA: Identified critical churn triggers within account metadata, isolating month-to-month contracts (74.9% risk), manual electronic checks (45.3% risk), and fiber optic billing tiers (40.8% risk) as high-probability indicators of customer attrition.
  • Lean Stack Implementation: The analytical system is coupled with a modern, high-performance web interface built using React, TypeScript, Vite, and Tailwind CSS, allowing stakeholders to dynamically select risk profiles or generate random customer data for live testing.
  • Built using Numpy, Panda, Scikit Learn, Pytorch.

SKILLS


Laguages: Python, TypeScript, JavaScript, C/C++, SQL, HTML5/CSS3, Java
AI & ML: Deep Learning & MLPs, Computer Vision (OpenCV), PyTorch, Scikit-Learn, Pandas, NumPy, Core Math (LinAlg, Calc, Stats)
Automation: n8n Workflows, AI Agents & Webhooks, React, Next.js, Node.js, Express, MongoDB (MERN), Tailwind CSS, RESTful APIs
Tools: PostgreSQL, MySQL, Git/GitHub, Linux/Bash, Lovable, Jupyter, Docker

CERTIFICATIONS


  • Python with Data Science and ML Certificate( Coursera )
  • Cyber Security with AI (Google)

ACHIEVEMENTS


  • JEE Advance AIR 19
  • GATE DA AIR 04
Hover resume parts to see Live AI Diagnostics

Live AI Auditor

Real-time ATS parsing diagnostics

94/100
Elite Rank Status
Standard Checkpoints
Layout Parsing: Compatible
Contact Information: Validated
Section Hierarchy: Standardized
Keyword Descriptors: Match
>_ Parser Idle

Hover over any section of the resume (summary, skills, specific bullets, projects, education) to run live parser diagnostics.

Side-by-Side Comparison

Standard Builders vs. ResumeCopilot

Discover why candidates using our intelligent ecosystem bypass ATS barriers and land interviews faster.

Core CapabilityStandard Resume Builders ResumeCopilot
ATS Compliance Auditing
Basic spelling check; lacks parser compliance diagnostics
Real-time compliance checks for headers, columns, and contact indices
Semantic Keyword Match
Manual comparison; no job description parsing
Deep semantic analysis comparing resume keywords against target job description
AI Experience Phrasing
Static templates with standard filler phrasing
One-click contextual bullet rewriter focusing on metric impact and action verbs
Layout Stability Guarantee
Columns and tables frequently break in parsing systems
100% compliant structures engineered specifically for parser alignment
End-to-End Prep Tools
Only generates static documents
Tailored mock interview prep engines and customized cover letter utilities
Pipeline Tracker
None; requires separate tracking sheets
Integrated Kanban tracking board mapping job targets directly

Frequently Asked Questions

Find answers to the most common questions about the platform.

Sign In to ResumeCopilot

New to the platform?
or continue with