Shashank Kurakula
Machine Learning Engineer & AI Specialist | Expert in Generative AI, LLMs & ML Infrastructure | Python, PyTorch, LangChain
- Role
- Ai Ml Engineer at Cognitive Technology Solutions Inc
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Shashank Kurakula
Machine Learning Engineer and AI Specialist with 4.5+ years of experience building production-grade AI systems and scalable ML infrastructure. I specialize in developing cutting-edge solutions using Generative AI, Large Language Models (LLMs), and advanced ML technologies. My expertise includes- Architecting and deploying production ML systems using distributed computing frameworks - Implementing RAG (Retrieval-Augmented Generation) systems with models like Mistral-7B and GPT-4 - Building multi-agent AI systems and real-time ML pipelines - Developing computer vision applications using state-of-the-art models - Creating scalable data processing pipelines handling millions of records Currently working on innovative projects leveraging Google Gemini AI, LangChain, and Transformer models. I\'ve successfully delivered ML solutions across healthcare, fintech, and automation domains, consistently achieving 40%+ improvement in system efficiency and user interactions. I\'m passionate about pushing the boundaries of AI technology while maintaining a strong focus on practical, production-ready implementations. My approach combines deep technical expertise with a keen understanding of business impact, ensuring solutions that drive meaningful results. Open to collaborating on challenging ML Engineering projects and discussing innovative AI applications. Let\'s connect and explore how we can leverage AI to solve complex real-world problems!#MachineLearning #AIEngineering #GenerativeAI #LLMs #MLOps #Python #PyTorch #DistributedSystems
Experience
Ai Ml Engineer
Cognitive Technology Solutions Inc
Nov 2024 — Present · Charlotte, NC, US
Architected and deployed production-grade ML systems using distributed computing frameworks, resulting in 40% improvement in processing efficiency.Developed AI Nutrition Monitor application leveraging Google Gemini AI and computer vision, demonstrating expertise in multimodal AI systems.Designed and implemented RAG (Retrieval-Augmented Generation) system using Mistral-7B and LangChain, enabling scalable knowledge retrieval with 90% accuracy.Built multi-agent AI system for automated content generation utilizing GPT-4, showcasing proficiency in LLM orchestration and prompt engineering.Engineered Telegram chatbot using OpenAI GPT-3.5 Turbo, implementing real-time conversational AI capabilities.Led end-to-end MLOps implementation including CI/CD pipelines, monitoring, and automated model retraining workflows.Developed custom embedding solutions using Sentence Transformers for semantic search and document similarity tasks.Implemented real-time model monitoring and performance tracking systems, ensuring 99.9% model availability.Optimized model inference pipelines reducing latency by 50% through efficient batching and caching strategies.Collaborated with cross-functional teams to define ML infrastructure requirements and deployment strategies.Mentored junior engineers in ML best practices, model development, and production deployment workflows.Established data quality pipelines and validation frameworks ensuring high-quality training data.
Education
FIITJEE
High School Diploma
2013 — 2015
East Texas A&M University
Master of Science - MS, Computer Science
Jawaharlal Nehru Technological University
BTech - Bachelor of Technology, Computer Software Engineering
Bharatiya Vidya Bhavan's
Middle School Diploma
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