Open to opportunities

Vismay Raut

@vismayraut

Message

Aspiring AI/ML developer building computer vision, NLP, and biometric pipelines.

India

Message

What I'm looking for

I’m looking for an AI/ML role where I can build real-world computer vision and NLP systems, improve model pipelines, and ship features end-to-end—ideally with opportunities to grow in ML engineering and deployment.

I’m a fourth-year B.Tech (Computer Science) student focused on building practical AI systems—especially OCR, resume understanding, and EEG-based authentication. I turn end-to-end ideas into working pipelines and deployable interfaces.

As an AI/ML Developer Intern at Micro Logics, I developed an AI-powered OCR system for industrial weight plate codes using TrOCR, PyTorch, and OpenCV, including an image preprocessing/detection pipeline that reduced processing time from 15–30 seconds to milliseconds. I also created a Gradio-based web interface and CLI tools for real-time prediction and batch processing.

Earlier, I built an EEG authentication pipeline (92%+ biometric accuracy) with noise reduction using SciPy + FFT + wavelet denoising, plus feature extraction and real-time inference. I’m also excited about LLM-driven resume analysis using the OpenAI API and vector embeddings, and I’m ready to contribute as an AI/ML developer.

Experience

Work history, roles, and key accomplishments

AI/ML Developer Intern

Micro Logics

Dec 2025 - Feb 2026 (2 months)

Developed an AI-powered OCR system to recognize industrial CPI/weight plate codes using TrOCR, PyTorch, and OpenCV, achieving a 7.9/10.0 score. Built an image preprocessing and detection pipeline that reduced processing time from 15–30 seconds to 2022 ms, plus a Gradio-based web UI and CLI for real-time and batch predictions.

PyTorch OpenCV TROCR Image Processing Gradio CLI Tools

EEG Biometric Auth Intern

IS360

Jun 2024 - Jun 2025 (1 year)

Built an EEG authentication pipeline for secure medical access, achieving 92%+ biometric accuracy. Reduced neural noise by 37% using custom signal filtering (SciPy + FFT + wavelet denoising) and implemented denoising, feature extraction, and real-time inference.

Signal Processing Scipy FFT Feature Extraction CNN SVM

AI Developer Intern

IS360

Jun 2024 - Jun 2025 (1 year)

Built an EEG authentication pipeline achieving 92%+ biometric accuracy for secure medical access. Reduced neural noise by 37% using custom signal filtering (SciPy, FFT, wavelet denoising) and implemented signal denoising, feature extraction, and real-time inference.

EEG Biometrics Signal Processing Scipy FFT Feature Extraction

Sales and Marketing Intern

VRFood

Jun 2023 - Sep 2023 (3 months)

Increased retailer onboarding by ~28% within three months through direct sales outreach and local campaigns. Improved product visibility and market reach by coordinating with distributors and vendors.

Sales Outreach Marketing Campaigns Distributor Vendor Management Market Visibility