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Jidnesh Patil

Open to work0 years experience

Full Stack Developer & ML Engineer

Vashi, Navi Mumbai, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Full Stack Developer & ML Engineer | Computer Engineering Student

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

29 skills
pythonjavascriptjavasqlpostgresqlreact.jstailwind csshtmlcssnode.jsexpress.jsmongodbmysqlrest apisjwt authenticationtensorflowkeraspytorchcomputer visionnlpyolov8opencvfastapigitgithubdockerpostmangradiovs code

Work Experience

Intern|Full Stack Developer & ML Engineer

Vortex Web Technologies

Jan 2026 - Apr 2026 Nerul, India
  • Built RESTful APIs for a healthcare consultation platform using Node.js and MySQL, handling patient issue management, doctor selection, and end-to-end frontend-backend communication.
  • Developed a full-stack agriculture marketplace supporting farmer product listings, buyer purchases, transporter deliveries, and user KYC verification workflows.
  • Integrated a plant disease detection ML model via FastAPI and Node.js, enabling automated crop analysis and intelligent predictions within a live web platform.

Projects

BharatDarshan — AI-Powered Heritage Tourism

View Project
MERNYOLOComputer VisionNLP
  • Built a tourism platform combining computer vision, NLP, and geospatial data for monument recognition, heritage exploration, and on-site traveler safety monitoring.
  • Deployed YOLO-based real-time detection to identify scams, vandalism, and lost items, improving safety and incident reporting at heritage sites.
  • Designed a scalable MERN architecture with interactive maps, AI-driven travel insights, and personalized recommendations.

FakeXpose — Multimodal Deepfake Detection

View Project
PythonFastAPIEfficientNetOpenCVScikit-learn
  • Built a video deepfake detection pipeline using EfficientNet with frame-level face analysis and weighted aggregation, achieving 95% accuracy.
  • Engineered an audio deepfake classifier using 170-dimensional feature extraction and ensemble ML models, reaching 97.5% accuracy with high AUC.
  • Exposed detection capabilities via a FastAPI service, enabling real-time media verification integration with external applications.

SIGRO — AI-Powered Smart Agriculture Assistant

View Project
ReactNode.jsYOLOv8DRLGroq LLM
  • Trained and deployed YOLOv8 for real-time plant disease identification, exported to ONNX, and integrated into a full-stack web platform for live field analysis.
  • Designed a DQN-based decision engine modelling crop, soil, and weather states to optimise irrigation and fertilizer strategies using reinforcement learning.
  • Built a multilingual voice AI assistant (Groq LLM + Whisper STT + ElevenLabs TTS) with geospatial farm mapping and weather-linked risk alerts.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

1st Prize in Software Category at Avishkar Project Competition

Secured 1st Prize in Software Category at Avishkar Project Competition as Team Lead.

2nd Runner Up at the Loop Hackathon

Secured 2nd Runner Up at the Loop Hackathon.

Top 15 Candidates in the IDFC First Bank Code-a-thon

Selected among Top 15 Candidates in the IDFC First Bank Code-a-thon.

Solved 250+ DSA problems on LeetCode

Solved 250+ DSA problems on LeetCode.

About Details

Professional Bio

Final-year Computer Engineering student with hands-on experience as a Full Stack Developer and ML Engineer. Skilled in the MERN stack, Python-based AI/ML pipelines, and computer vision systems. Delivered production-grade projects combining deep learning with scalable web architecture.

Bachelor of Engineering in Computer Engineering in Computer Engineering

Saraswati College of Engineering (2022 - 2026)

Languages: English, Hindi
Email: Locked