MOHD WARISH — AI Researcher

🚀 Machine Learning & Generative AI Enthusiast Hello! 👋 I'm Mohd Warish, a passionate Machine Learning Engineer and recent graduate from IIIT Sri City, Chittoor (2024 batch) with a degree in Computer Science. Hailing from Haryana, India, I specialize in developing AI-driven solutions that redefine user experiences, optimize systems, and solve real-world challenges with cutting-edge technology. 🛠️ Core Technical Expertise: - Languages: Python, Javascript, - Machine Learning: Scikit-learn,Numpy, Pandas, TensorFlow, PyTorch - Deep Learning: CNNs, RNNs, LSTMs, GRUs, Temporal Fusion Transformers (TFT), Autoencoders - Generative AI & LLMs: Phi LLM, Flant-5, llama, LangChain, LangGraph, LlamaIndex, Hugging Face Transformers, FAISS, RAG (Retrieval Augmented Generation). - Databases: Cassandra, Redis, MongoDB, SQL - DevOps & Deployment: Docker, Kubernetes, GCP, FastAPI, Flask - Computer Vision: OpenCV, 3D CNNs, YOLO, Siamese Networks, ResNet, Swin Transformers 💼 Professional Experience # Machine Learning Engineer | Eizen.AI 1) Time Series Analysis: Designed and deployed models for time series forecasting and anomaly detection using algorithms like LSTMs, Temporal Fusion Transformers, and Autoencoders, enhancing system reliability by identifying root causation and correlation of anomalies. 2) LLM-Powered Chatbot: Engineered a multi-agentic chatbot leveraging Private and public LLM models like PHI LLM, Llama and frameworks like LangChain and LangGraph. 3) Computer Vision: Developed an unsupervised video anomaly detection system using 3D CNNs and ResNet architectures, eliminating the need for manual labeling in criminal event detection. 4) Visual Prompting & Re-Identification: Enhanced re-identification tasks with Siamese and triplet networks, focusing model attention on prompted regions for better accuracy in feature extraction. # Software Development Engineer | Dilate Labs Pvt. Ltd. 1) Developed a comprehensive customer and lab partner application with React,Node.js, and MongoDB, enhancing user experience by 10%. 2) Developed over 40 REST APIs for functionalities like order booking, wallet management, patient report cards, and reviews. 3) Implemented Google Maps APIs and a secure Razorpay payment gateway, streamlining transactions and improving location accuracy. 🌟 Career Goals I am seeking roles in Machine Learning Engineering, Generative AI, and LLM-based Solutions, where I can combine my technical expertise with a passion for solving complex problems and delivering innovative AI-driven solutions at scale.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI-driven solutions and Full-Stack Development.

Location: Nuh, India

Experience: 2 yrs 6 mos