
π AI Researcher | π€ Machine Learning & Generative AI Expert | π¬ LLM & RAG Enthusiast |π― Skilled in Agentic AI, Deep Learning, and LLM-based applications
AI is analyzing your overall scoreβ¦
Identifying your key strengthsβ¦
Evaluating your skill match against the job requirementsβ¦
Assessing your cultural and operational fit
Fonada
Data Scientist
June 25, 2026 β Present
voice-authenticity-openenv
April 5, 2026 β Present
ποΈ Voice Authenticity Detection: A reinforcement learning environment for training agents to identify synthetic speech across clean, compressed, and adversarial conditions. π‘οΈ Fraud Prevention: Optimized for 48-dimensional acoustic feature analysis to detect AI-generated audio and identity spoofing in real-world environments.
View ProjectEnvironment_Intelligence
March 11, 2026 β Present
Environment_Intelligence β GitHub repository
View ProjectAI_Podcast_Generator
February 26, 2026 β Present
FonadaLabs Podcast Studio: The all-in-one AI platform to transform topics into high-fidelity audio scripts and premium animated waveform videos. ποΈπ₯ Create unique RSS feeds for Spotify and stunning YouTube visuals with hyper-realistic Indian voices in just a few clicks! π§β¨
View ProjectNeuralWave-RVQ
January 9, 2026 β Present
π§ A high-fidelity Neural Audio Codec implemented from scratch in PyTorch. Uses Residual Vector Quantization (RVQ) and Multi-Scale STFT Loss to compress raw waveforms into discrete latent codes. β‘
View ProjectPersona_AI
December 1, 2025 β December 4, 2025
πAI-powered storytelling API that generates personalized 7-day narrative adventures tailored to your personality archetype; Explorer, Builder, Dreamer, or Challenger. π Built with FastAPI and Groq's Llama-3.3, it creates engaging storylines that evolve with your goals through adaptive micro-challenges and continuous narrative arcs.
View ProjectAutoVision_Labeller
October 22, 2025 β October 22, 2025
High-performance image annotation tool leveraging YOLOv8 for 95% faster labeling workflows. Professional POC demonstrating speed, accuracy, and scalability for Vision AI applications.
View ProjectHMM_Fruits_Dataset_Project
October 5, 2025 β October 6, 2025
ππTrain on 7 fruits, pronounce ANY English word! HMM-based speech recognition + pronunciation generator with customizable speed, pitch & 4 accents. 100% accuracy, zero deep learning. π£οΈβ¨
View ProjectDocuMind_RAG_Based_Document_AI_Agent
September 13, 2025 β October 1, 2025
π DocuMind - Enterprise-grade AI document intelligence system that transforms PDFs into an interactive knowledge base with natural language querying and precise source citations. π‘ Built with FastAPI, Google Gemini API, and advanced RAG technology for seamless document analysis and ArXiv research integration.
View ProjectMultiFlipFormer_Emotion_Flip_Reasoning
August 23, 2025 β Present
MultiFlipFormer is a multimodal Transformer-based framework for Emotion Flip Reasoning, detecting emotional shifts and their instigators in therapeutic dialogues. It unifies text, visual, and contextual cues to predict emotion transitions, instigator roles, and future emotional trajectories.
View ProjectDoodle_to_Art
February 23, 2025 β May 12, 2025
Transform your doodles into stunning AI-generated artwork using Stable Diffusion, ControlNet, and Google Gemini Vision. Draw, style, and create professional art with just a few clicks! π¨β¨
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong passion for AI and a diverse range of personal projects, indicating a self-starter mentality and continuous learning. This aligns well with a culture that values innovation and independent initiative. The projects cover various aspects of AI, suggesting a broad interest and adaptability, which can contribute positively to team dynamics and project diversity. The current role as 'Data Scientist' at Fonada further aligns with the target role.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and innovative approach to problem-solving. The diversity of projects indicates adaptability and a willingness to explore different domains within AI. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be objectively evaluated.