Senior AI/ML Engineer Paklogics
I delivered production NLP classification and sentiment-analysis models that improved prediction accuracy by 30% across text workflows. I also adapted Whisper and Wav2Vec2 models for voice applications, reducing speech-recognition error rates by 25% while integrating text-to-speech components.
I designed RAG services using LLMs, embeddings, and vector databases, improving retrieval relevance by 35% for knowledge-intensive applications. I scaled FastAPI AI services to more than one million monthly queries, integrated OpenAI, Ollama, and Hugging Face models, and containerized ML workloads with AWS Lambda deployment patterns to reduce cloud operating costs by 30%.
I advanced 3D scene reconstruction and computer-vision pipelines, improving object-detection accuracy by 20%. I also automated high-volume data acquisition and processing workflows, reducing manual effort by 50%.