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Abhinav Anand

Software Engineer Intern skilled in Python, FastAPI, and Machine Learning

B.Tech, Computer Science (AI/ML), Lovely Professional University, Punjab, India · 2029JalandharAvailable immediatelyOpen to opportunities

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About

I am a Python/backend engineer building full-stack applied AI systems, including FastAPI services, Docker containers, and end-to-end ML, NLP, and computer-vision pipelines. I shipped DocuShield, a document-forensics platform with a 90-test automated backend suite, plus two publicly deployed ML applications using Supabase and Groq (Llama 3).

Skills

PythonC++JavaScriptSQLFastAPIREST APIsPostgreSQLSupabaseStreamlitReact (Vite)Scikit-LearnPandasNumPyspaCySentence TransformersLLM APIs (GroqLlama 3)Feature EngineeringOpenCVEasyOCRTesseractORB + RANSACError Level AnalysisICAO MRZ ParsingDockerGitGitHub

Projects

AI Resume ATS Analyzer

Sept 2026 – Present

Delivered a 100-point, five-dimension resume scoring engine. Flagged unsupported skill claims by building a skill-context validator. Generated LLM-based improvement suggestions by integrating the Groq API (Llama 3).

CreditWise — AI Loan Risk Intelligence System

Mar 2026 – Present

Classified loan applicants into 3 risk tiers at 87.5% accuracy by engineering features with Pandas and training a Scikit-Learn multiclass classifier. Removed a data-leakage defect from the feature set before release, deploying as a Streamlit app.

Title / role: DocuShield — Fake ID & Document Forensic Screening System

Smart India Hackathon 2026 (PS SIH26188) · Sept 2026 – Sept 2026

Verified 5 identity-document types using a multi-stage OCR pipeline with ICAO MRZ parsing and checksum validation. Detected image tampering across 3 forensic signals (ELA, ORB + RANSAC, EXIF metadata) and locked in backend correctness with a 90-test automated suite.

PythonFastAPIReactOpenCVEasyOCRTesseractDocker

DocuShield — Fake ID & Document Forensic Screening System

Smart India Hackathon 2026, PS SIH26188

Verified 5 identity-document types by building a multi-stage OCR pipeline with ICAO MRZ parsing and checksum validation. Detected image tampering across 3 independent forensic signals. Locked in backend correctness with a 90-test automated suite.

Education

  • Lovely Professional University, Punjab, India

    B.Tech, Computer Science (AI/ML)

    2025 – 2029

Certifications & achievements

  1. Python · Infosys Springboard

    Certification

  2. SQL (Advanced) · HackerRank

    Certification

  3. Smart India Hackathon 2026

    Certification

    Built DocuShield for problem statement SIH26188.