Full Stack AI Enginner | Android & Cross-Platform Developer | Flutter | AI engineer | AI automation

Canada
India

Remote

India

Remote

Bachelor of Technology - BTech, Computer science and engineering
D. Y. Patil College of Engineering & Technology, KASABA BAWADA (DYPCET)
Hsc, Pcm
Dr chandrabhanu sonawane junior college latur
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Download Tal BossFull Stack AI Enginner | Android & Cross-Platform Developer | Flutter | AI engineer | AI automation
A highly motivated final-year Computer Science student with strong programming, Data Structures, and Algorithms skills. I have practical experience as an Android Developer Intern, working with Kotlin, Jetpack Compose, MVVM architecture, and integrating RESTful APIs. My project work includes developing applications in Flutter, Python, and the MERN stack from last 1 year working on building various AI solutions for clients worked as a AI Engineer freelance for various clients and delivered AI automation solutions. I am a Meta Certified Professional Application Developer and hold a Google Cybersecurity Professional Certificate. Eager to contribute to innovative projects and continuously learn from industry leaders through new opportunities
Dubai
Full Stack AI Enginner at Empower The World Inc, May 2026 - Present · 3 mos, Canada, Design and develop AI-powered full-stack applications by integrating Large Language Models (LLMs) and generative AI capabilities into web and mobile platforms. Build and deploy end-to-end solutions using Next.js, MERN Stack, React, Node.js, Express.js, MongoDB, and mobile application frameworks, seamlessly embedding AI into production systems. Develop intelligent applications for social media automation, business process optimization, customer support, document processing, and other real-world use cases. Create and manage Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and advanced retrieval techniques to deliver context-aware AI responses. Build AI agents and orchestrate complex workflows using LangChain, LangGraph, and modern agentic AI architectures. Integrate and deploy models using Google AI SDK, LLM APIs, and open-source models for text, vision, and multimodal applications. Design and automate business workflows using n8n, including AI-driven automations, API integrations, and event-based orchestration. Implement scalable backend APIs and AI microservices that connect frontend applications with machine learning models and external services. Work across the AI lifecycle, including prompt engineering, model evaluation, inference optimization, MLOps practices, deployment pipelines, monitoring, and production integration. Collaborate with cross-functional teams to transform business requirements into secure, scalable, and AI-enabled software solutions that deliver measurable impact.
AIML Engineer industry project at PixelBloom Digital, Jul 2025 - Jun 2026 · 1 yr, India, AI/ML Backend Engineer Experience Developed and deployed AI/ML backend solutions for diverse real-world problem statements using Python and modern machine learning frameworks. Worked extensively with Large Language Models (LLMs) and Vision Language Models (VLMs), including Qwen VL2, Gemma 3B, and IBM Granite series models for multimodal document and image understanding. Built high-performance inference pipelines using vLLM to serve LLMs efficiently with low latency and scalable throughput. Designed and implemented OCR and image processing pipelines, extracting information from documents and images and converting it into structured, machine-readable JSON formats. Utilized Hugging Face Transformers for model loading, inference, experimentation, and customization across NLP and computer vision tasks. Performed model fine-tuning and optimization to improve accuracy and adapt foundation models to domain-specific use cases. Developed end-to-end ML pipelines covering data preprocessing, inference, post-processing, and structured output generation. Integrated AI models into backend services and automated workflows, enabling reliable processing of unstructured text and visual data for downstream applications.
Full-stack Developer Intern at Indian Institute of Technology, Bombay, Jul 2025 - Oct 2025 · 4 mos, Remote, worked on prepinterview ai interview platform using mern stack
Android Developer at VaishaliTech, Feb 2025 - Apr 2025 · 3 mos, India, Worked on Flutter, Got familiar with React Native CLI, and handled client app maintenance and issue resolution.
Android Developer at JoshGuru, Feb 2025 - Mar 2025 · 2 mos, Remote, worked on native android app using jetpack compose and kotlin
Bachelor of Technology - BTech, Computer science and engineering, D. Y. Patil College of Engineering & Technology, KASABA BAWADA (DYPCET)
Hsc, Pcm, Dr chandrabhanu sonawane junior college latur