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Hi, I'm Likith Kumar, a passionate Gen AI/ML Engineer with around 4 years of experience in Data Analytics, Machine Learning, Natural Language Processing, and Generative AI. I specialize in building end-to-end AI solutions for domains such as Finance, Telecom, and Legal, using cutting-edge cloud technologies and machine learning models to solve real-world problems. I enjoy collaborating with teams to translate complex business challenges into data-driven solutions and have hands-on experience deploying scalable AI/ML models on platforms like AWS and Azure. I’m always eager to learn new AI advancements and apply them to drive innovation and efficiency in every project I undertake.…Hi, I'm Likith Kumar, a passionate Gen AI/ML Engineer with around 4 years of experience in Data Analytics, Machine Learning, Natural Language Processing, and Generative AI. I specialize in building end-to-end AI solutions for domains such as Finance, Telecom, and Legal, using cutting-edge cloud technologies and machine learning models to solve real-world problems. I enjoy collaborating with teams to translate complex business challenges into data-driven solutions and have hands-on experience deploying scalable AI/ML models on platforms like AWS and Azure. I’m always eager to learn new AI advancements and apply them to drive innovation and efficiency in every project I undertake.

Likith Kumar

AI Engineer, Data Scientist, AI Strategy Consultant, +2

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Hi, I'm Likith Kumar, a passionate Gen AI/ML Engineer with around 4 years of experience in Data Analytics, Machine Learning, Natural Language Processing, and Generative AI. I specialize in building end-to-end AI solutions for domains such as Finance, Telecom, and Legal, using cutting-edge cloud technologies and machine learning models to solve real-world problems. I enjoy collaborating with teams to translate complex business challenges into data-driven solutions and have hands-on experience deploying scalable AI/ML models on platforms like AWS and Azure. I’m always eager to learn new AI advancements and apply them to drive innovation and efficiency in every project I undertake.…Hi, I'm Likith Kumar, a passionate Gen AI/ML Engineer with around 4 years of experience in Data Analytics, Machine Learning, Natural Language Processing, and Generative AI. I specialize in building end-to-end AI solutions for domains such as Finance, Telecom, and Legal, using cutting-edge cloud technologies and machine learning models to solve real-world problems. I enjoy collaborating with teams to translate complex business challenges into data-driven solutions and have hands-on experience deploying scalable AI/ML models on platforms like AWS and Azure. I’m always eager to learn new AI advancements and apply them to drive innovation and efficiency in every project I undertake.

Available to hire

Hi, I’m Likith Kumar, a passionate Gen AI/ML Engineer with around 4 years of experience in Data Analytics, Machine Learning, Natural Language Processing, and Generative AI. I specialize in building end-to-end AI solutions for domains such as Finance, Telecom, and Legal, using cutting-edge cloud technologies and machine learning models to solve real-world problems.

I enjoy collaborating with teams to translate complex business challenges into data-driven solutions and have hands-on experience deploying scalable AI/ML models on platforms like AWS and Azure. I’m always eager to learn new AI advancements and apply them to drive innovation and efficiency in every project I undertake.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Gen AI/ ML Engineer at Everstream Analytics

July 1, 2024 - Present

Played a key role in developing and deploying an AI-driven customer support chatbot integrated with a real-time fraud detection system. Improved automated customer interactions, accelerated fraud resolution, and increased accuracy of responses for transaction inquiries and security concerns. Utilized Generative AI models and LLMs like Claude and GPT with RAG techniques. Developed vectorization and semantic indexing frameworks, built AWS-based infrastructure leveraging SageMaker, Kendra, OpenSearch, and Lambda, and implemented scalable, cost-efficient AI responses. Monitored system health with CloudWatch and Prometheus, and established CI/CD pipelines to automate model updates, reducing live agent workload by 30% and improving fraud resolution times.

ML/ AI Engineer at CSX Technology

May 31, 2024 - July 18, 2025

Led the development of an AI-driven platform to optimize Verizon's 5G network performance and analyze IoT device data in real time. Designed and deployed ML models for telecom customer analytics and automation, built scalable ML pipelines with Apache Spark and SageMaker, reducing network downtime by 20%. Developed deep learning models to forecast network congestion and optimize spectrum allocation, and predictive analytics for IoT health monitoring, reducing failures by 25%. Designed microservices architecture on AWS Lambda and Kubernetes, automated CI/CD workflows with Jenkins, optimized Snowflake performance, and collaborated with network engineers and product teams to align AI solutions with operational goals.

Data Scientist/ ML Engineer at ShortCode Technologies

April 30, 2022 - July 18, 2025

Contributed to building ML systems for personalized career path and learning recommendations. Developed, deployed, and integrated ML models within the company's LMS platform. Enhanced database query performance by developing normalized and denormalized data models. Utilized decision trees and graph models to solve recommendation and classification problems. Collaborated with cross-functional teams for data flow definition and model validation. Gained hands-on experience with deep learning tools such as PyTorch, TensorFlow, and Keras, and processed real-time interaction data to continuously improve recommendation algorithms.

Gen AI/ ML Engineer at Everstream Analytics

July 1, 2024 - Present

Led the development and deployment of an AI-powered customer support chatbot integrated with a real-time fraud detection system. Created a Retrieval-Augmented Generation (RAG) framework for semantic indexing of customer interactions and transaction data. Built scalable ETL pipelines using AWS Glue and Snowflake. Leveraged AWS services like SageMaker, Lambda, Bedrock, OpenSearch, and Kendra for LLM fine-tuning, semantic search, and real-time AI responses. Employed vector databases (Pinecone, FAISS) and integrated CI/CD pipelines to automate deployment and model retraining. Reduced live agent workload by 30% and improved fraud resolution times through accurate AI-generated responses.

ML/ AI Engineer at CSX Technology

May 31, 2024 - July 18, 2025

Developed an AI-driven platform to optimize Verizon’s 5G network performance and IoT analytics. Designed scalable ML pipelines using Apache Spark and AWS SageMaker to process large 5G network traffic and sensor data, reducing downtime by 20%. Created deep learning models (LSTM and Transformer) for network congestion forecasting and dynamic spectrum allocation. Implemented predictive maintenance analytics to reduce IoT device failures by 25%. Designed microservices architecture with AWS Lambda and Kubernetes. Automated CI/CD workflows with Jenkins, improving deployment speed by 40%. Ensured real-time monitoring of model health and data drift with AWS CloudWatch and Prometheus.

Data Scientist/ ML Engineer at ShortCode Technologies

April 30, 2022 - July 18, 2025

Contributed to building AI-based career path and learning recommendation systems for internal users. Developed and deployed ML models in Python to recommend personalized learning paths within the LMS platform. Integrated predictive analytics for career growth aligned with employee skills. Improved database query performance by developing normalized and denormalized data models. Collaborated across teams to validate model integration. Gained hands-on experience in PyTorch, TensorFlow, and Keras for deep learning. Processed real-time interaction data to refine recommendation algorithms.