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Rashik dubey

@rashikdubey

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AI/ML engineer building NeuroVaani, a voice-analysis screening application using speech features and machine learning.

India

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What I'm looking for

I’m interested in building measurable, low-latency conversational AI systems and collaborating across ML, engineering, and product.

On NeuroVaani, I designed a voice-analysis workflow for short speech recordings, using acoustic features and machine learning for screening-oriented analysis. I worked with pitch variation, pauses, speech rate, jitter, shimmer, and speech preprocessing.

I built the application around Python, FastAPI, and ML inference, with a focus on explainability, consent-aware workflows, and longitudinal comparison. I also developed an image-based deepfake detection system with a reusable pipeline for preprocessing, inference, evaluation, and model experimentation.

For a medical store e-commerce platform, I developed a product-discovery experience using React and TypeScript, with an extensible backend/API architecture. I’m interested in building measurable, low-latency conversational AI systems and collaborating across ML, engineering, and product.

Experience

Work history, roles, and key accomplishments

AI/ML Engineer

NeuroVaani

Designed a voice-analysis workflow for short speech recordings using acoustic features and ML classification for screening-oriented analysis. Built the application around Python/FastAPI and ML inference, focusing on explainability and consent-aware workflows.

Python fastAPI Speech Processing Acoustic Features Pitch Analysis Jitter Shimmer Harmonics To Noise Speech Preprocessing

AI-Based Deepfake Image Detection

Personal Project

Built an image-based deepfake detection system to distinguish authentic images from manipulated or AI-generated content. Structured the solution as a reusable ML pipeline covering preprocessing, inference, evaluation, and model experimentation.

Deep Learning CNN Transfer Learning Image Processing ML Pipelines Python PyTorch

Medical Store E-Commerce Platform

Personal Project

Developed a modern product-discovery experience using React/TypeScript with extensible backend/API architecture. Worked on scalable application structure, product categories, product details, and future admin/backend integration.

React TypeScript Backend APIs Scalable Architecture Product Development