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AI & ML Engineer | Full stack Dev | Passionate about NLP, Computer Vision, LLMs & Generative AI | Voice & Conversational AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Voice-Ai-Livekit
October 27, 2025 – October 27, 2025
Voice-Ai-Livekit — GitHub repository
View Projectrealtime-voice-ai-framework
September 21, 2025 – September 22, 2025
A comprehensive real-time voice AI framework built for production deployments. Features streaming speech-to-text, language model integration, and text-to-speech synthesis with sub-second latency, and multi-provider plugin architecture. Supports local and cloud AI providers including Whisper, Claude, and various TTS engines.
View ProjectVoiceAgent-Quick-Start
August 5, 2025 – August 5, 2025
Open-source Python project for building real-time, low-latency Voice AI agents. Features: PyAudio 10 ms audio capture, dynamic WebRTC VAD silence trimming, WebRTC noise suppression, streaming ASR via Wav2Vec2/Vosk, conversational AI with NVIDIA Llama 3/OpenAI, Coqui FastPitch TTS.
View Projectgenai-multi-modal-research-assistant
July 25, 2025 – July 25, 2025
GenAI Multi-Modal RAG Research Assistant : ingest PDFs, web & images → LangChain, CLIP, FAISS → FastAPI, Streamlit & AWS/Terraform deployment
View Projectlive-voice-ai
July 19, 2025 – August 5, 2025
📢 LiveVoiceAI – Offline real‐time voice assistant with Vosk, webrtcvad & Ollama
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on AI/ML, particularly real-time voice AI and GenAI. While technically strong, there is a significant mismatch with the 'Frontend Developer' target role. The projects do not demonstrate frontend-specific skills beyond basic HTML in two projects, which is insufficient for a senior frontend role. This indicates a poor cultural fit for the specified target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and ability to deliver complex systems.