AMISH SHAH

AMISH SHAH

AI/ML Engineer
India
Tamil, English, Arabic, Hindi

About Me

AI/ML Engineer with 3+ years of experience developing and deploying machine learning, Generative AI, NLP, and computer vision solutions. Skilled in building LLM applications, RAG pipelines, AI agents, scalable inference …

Experience

Software Developer - AI/ML

Agentz · Chennai, India
Jan 2023 - Present · 3 years 9 months

<p>Developed AI/ML, Generative AI, NLP, and computer vision solutions using Python, PyTorch, TensorFlow, Hugging Face, OpenAI, LLaMA, and cloud infrastructure.<br>
Built LLM applications, RAG pipelines, AI-agent workflows, conversational AI systems, and vector-search solutions using LangChain, Pinecone, FAISS, and ChromaDB.<br>
Fine-tuned transformer and LLaMA models with LoRA and PyTorch for domain-specific NLP and text-classification use cases.<br>
Developed and deployed ML APIs and inference services using FastAPI, Docker, AWS, GCP, and MLflow.<br>
Implemented data preparation, EDA, feature engineering, model validation, anomaly detection, OCR, ANPR, and model performance testing.<br>
Integrated AI services with frontend applications, enterprise systems, analytics platforms, and external tools.<br>
Reduced LLM response latency by 20% by integrating OpenAI models with Pinecone and AWS Lambda.<br>
Reduced average customer-support call duration by 25% through real-time voice AI agents.<br>
Accelerated reporting by 40% and reduced manual effort by 30% by developing Zoho Analytics pipelines.<br>
Increased user engagement by 15% by connecting backend ML APIs with frontend features.<br>
Developed computer vision and traffic-monitoring solutions using YOLOv5, OpenCV, PyTorch, PaddleOCR, and ANPR.<br>
Optimised inference performance through Docker deployment, asynchronous API workers, Locust load testing, and cloud-based scaling.</p>

Skills

Generative AI Development LLM Application Development Retrieval-Augmented Generation AI Agent Development Conversational AI NLP Text Classification LLM Fine-Tuning Machine Learning Model Development Deep Learning Computer Vision OCR ANPR Anomaly Detection Data Extraction Data Cleaning Exploratory Data Analysis Feature Engineering Model Validation API Development Cloud Deployment MLOps Model Monitoring Workflow Automation Performance Optimisation Scalable Inference Services End-to-End AI Product Development Patience Active Listening Empathy Compassion Communication Team Collaboration Problem-solving Critical Thinking Python SQL C++ JavaScript Classification Regression Clustering A/B Testing Data Augmentation PyTorch TensorFlow Keras CNNs RNNs LSTMs
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