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Hi, I'm Rohith Babu Mathi, an AI/ML Engineer and Data Scientist with over 6 years of experience in designing, deploying, and optimizing machine learning models and AI systems. I specialize in MLOps, AI observability, and automation frameworks that ensure seamless AI deployment and continuous performance monitoring. My expertise covers a wide range of AI domains including Generative AI, LLMs, Transformers, NLP, and Computer Vision. I have a strong background in cloud platforms like AWS and Azure, as well as Big Data technologies such as Apache Spark and Kafka. I enjoy building real-time AI applications, automating AI workflows, and delivering AI-driven insights that impact industries like finance, healthcare, and telecommunications. I'm passionate about leveraging the latest AI advancements to build scalable and efficient solutions that make a difference.…Hi, I'm Rohith Babu Mathi, an AI/ML Engineer and Data Scientist with over 6 years of experience in designing, deploying, and optimizing machine learning models and AI systems. I specialize in MLOps, AI observability, and automation frameworks that ensure seamless AI deployment and continuous performance monitoring. My expertise covers a wide range of AI domains including Generative AI, LLMs, Transformers, NLP, and Computer Vision. I have a strong background in cloud platforms like AWS and Azure, as well as Big Data technologies such as Apache Spark and Kafka. I enjoy building real-time AI applications, automating AI workflows, and delivering AI-driven insights that impact industries like finance, healthcare, and telecommunications. I'm passionate about leveraging the latest AI advancements to build scalable and efficient solutions that make a difference.

Rohith Babu Mathi

3D Designer, AI Engineer, Data Scientist, +1

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Hi, I'm Rohith Babu Mathi, an AI/ML Engineer and Data Scientist with over 6 years of experience in designing, deploying, and optimizing machine learning models and AI systems. I specialize in MLOps, AI observability, and automation frameworks that ensure seamless AI deployment and continuous performance monitoring. My expertise covers a wide range of AI domains including Generative AI, LLMs, Transformers, NLP, and Computer Vision. I have a strong background in cloud platforms like AWS and Azure, as well as Big Data technologies such as Apache Spark and Kafka. I enjoy building real-time AI applications, automating AI workflows, and delivering AI-driven insights that impact industries like finance, healthcare, and telecommunications. I'm passionate about leveraging the latest AI advancements to build scalable and efficient solutions that make a difference.…Hi, I'm Rohith Babu Mathi, an AI/ML Engineer and Data Scientist with over 6 years of experience in designing, deploying, and optimizing machine learning models and AI systems. I specialize in MLOps, AI observability, and automation frameworks that ensure seamless AI deployment and continuous performance monitoring. My expertise covers a wide range of AI domains including Generative AI, LLMs, Transformers, NLP, and Computer Vision. I have a strong background in cloud platforms like AWS and Azure, as well as Big Data technologies such as Apache Spark and Kafka. I enjoy building real-time AI applications, automating AI workflows, and delivering AI-driven insights that impact industries like finance, healthcare, and telecommunications. I'm passionate about leveraging the latest AI advancements to build scalable and efficient solutions that make a difference.

Available to hire

Hi, I’m Rohith Babu Mathi, an AI/ML Engineer and Data Scientist with over 6 years of experience in designing, deploying, and optimizing machine learning models and AI systems. I specialize in MLOps, AI observability, and automation frameworks that ensure seamless AI deployment and continuous performance monitoring. My expertise covers a wide range of AI domains including Generative AI, LLMs, Transformers, NLP, and Computer Vision.

I have a strong background in cloud platforms like AWS and Azure, as well as Big Data technologies such as Apache Spark and Kafka. I enjoy building real-time AI applications, automating AI workflows, and delivering AI-driven insights that impact industries like finance, healthcare, and telecommunications. I’m passionate about leveraging the latest AI advancements to build scalable and efficient solutions that make a difference.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Javanese

Advanced

Afar

Advanced

Work Experience

AI Engineer at Quicc

February 1, 2024 - Present

Developed and fine-tuned large language models using AWS Bedrock, improving chatbot accuracy by 20%. Implemented automated model training and deployment pipelines with AWS SageMaker, reducing operational overhead by 30%. Built feature pipelines and optimized data retrieval speed by 40%, and established AI model observability with Evidently AI and Arize AI. Automated model testing and integrated AI models into production using CI/CD pipelines. Conducted A/B testing that increased user engagement by 25%, integrated location-aware recommendation engines, and architected scalable PostgreSQL schemas with Vector DB. Developed AI-powered customer onboarding workflows to reduce onboarding time by 60%, optimized cloud architecture with containerized microservices, and leveraged Twilio APIs for multi-channel communication. Automated SQL query generation using generative AI and achieved 50% faster booking times through intelligent automation. Boosted business visibility and service provider produ

Machine Learning Engineer at FedEx

November 30, 2023 - July 24, 2025

Designed Kafka-based streaming data pipelines monitoring RCS messaging for billing reconciliation. Integrated machine learning models using Azure ML improving discrepancy detection accuracy by 20%. Built end-to-end ML pipelines automating data ingestion, model training, and deployment. Implemented automated drift detection and retraining workflows increasing accuracy by 15%. Delivered a Proof of Concept for targeted ad delivery during IPL matches using Azure Event Hubs and Stream Analytics. Developed PySpark modules optimizing cohort creation with a 10x boost in data processing efficiency. Automated HDInsight monitoring using scripts integrated with Azure Log Analytics, reducing manual interventions. Architected high-performance data warehousing solutions on Azure Synapse Analytics and built ARIMA time series forecasting models. Developed interactive real-time Power BI dashboards and ensured compliance with data security policies.

Data Scientist at TCS

September 30, 2022 - July 24, 2025

Created CNN models for crop disease detection using TensorFlow and Amazon Rekognition enabling real-time precision detection. Deployed multiclass classification models on Amazon SageMaker optimizing prediction time by 20%. Integrated with Amazon Redshift for centralized large-scale data storage improving retrieval time by 15%. Implemented SageMaker Pipelines automating training and deployment reducing time-to-production by 35%. Collaborated on real-time data streaming using AWS Data Pipeline and Amazon Kinesis processing over 2TB daily. Developed feature engineering workflows with AWS Glue DataBrew improving model accuracy by 10%. Deployed scalable models on Amazon EKS with Docker containers. Established real-time monitoring dashboards with Amazon QuickSight and applied NLP with Amazon Comprehend to improve report processing accuracy by 35%.

Data Analyst at Wipro

August 31, 2020 - July 24, 2025

Streamlined financial reporting by building a centralized Financial Data Warehouse using Azure Synapse Analytics and Data Factory. Enhanced data accessibility, ensured consistency, and reduced reporting times. Designed SQL-based reporting workflows consolidating financial data from multiple vendors. Created real-time Power BI dashboards tracking financial KPIs and automated data staging and transformation using SQL Server integrated with Azure. Reduced reporting time by 80% through incremental data loading and optimized schema design. Developed dynamic financial reports enabling actionable insights and comparative analyses for the CFO team.

AI Engineer at Quicc

February 1, 2024 - Present

Developed and fine-tuned LLMs improving chatbot accuracy by 20%. Implemented AWS SageMaker Pipelines reducing operational overhead by 30%. Built feature pipelines enhancing data retrieval speed by 40%. Set up AI model observability, automated testing, and integrated AI models into production with CI/CD pipelines. Conducted A/B testing increasing user engagement by 25% and integrated location-aware service recommendation engine. Architected scalable PostgreSQL schemas and implemented AI-powered onboarding workflows reducing onboarding time by 60%. Optimized cloud architecture on AWS EC2/ECS, integrated multi-channel communication including SMS and WhatsApp, automated SQL query generation with Generative AI, and achieved 50% faster booking times. Boosted local business visibility and service provider productivity while enhancing platform resilience and user intent recognition. Developed admin dashboard for real-time service tracking and decision-making.

Machine Learning Engineer at FedEx

November 30, 2023 - July 24, 2025

Designed Kafka-based streaming pipeline monitoring RCS messaging scenarios with improved discrepancy detection accuracy by 20%. Built ML pipelines using Azure ML Pipelines and Data Factory automating data processes. Automated drift detection increasing model accuracy by 15%. Delivered PoC for targeted ad delivery leveraging Azure Event Hubs and Stream Analytics. Developed PySpark modules boosting data processing efficiency 10x. Automated monitoring reducing manual intervention. Architected data warehousing solutions with Azure Synapse Analytics. Developed ARIMA time series forecasting models and interactive Power BI dashboards for real-time decision making. Implemented robust security and compliance policies for data protection.

Data Scientist at TCS

September 30, 2022 - July 24, 2025

Created CNN models for crop disease detection using TensorFlow and Amazon Rekognition. Deployed classification models on SageMaker improving prediction time by 20%. Integrated datasets into Amazon Redshift enhancing retrieval by 15%. Automated training and deployment workflows using SageMaker Pipelines reducing time to production by 35%. Processed large-scale agricultural data and developed feature engineering workflows increasing model accuracy by 10%. Deployed models on Amazon EKS with containerized microservices. Established real-time monitoring dashboards with QuickSight. Applied NLP models with Amazon Comprehend improving regional report processing accuracy by 35%.

Data Analyst at Wipro

August 31, 2020 - July 24, 2025

Streamlined financial reporting by building a Financial Data Warehouse consolidating multi-vendor data using Azure Synapse and Data Factory. Optimized SQL workflows and designed Power BI dashboards for real-time financial insights. Automated data staging and transformation reducing reporting time by 80%. Developed dynamic financial reports enabling actionable insights with minimal manual intervention.

AI Engineer at Quicc

February 1, 2024 - Present

Developed and fine-tuned LLMs using AWS Bedrock, improving chatbot accuracy by 20%. Implemented AWS SageMaker Pipelines for automated model training and deployment, reducing overhead by 30%. Managed feature pipelines, AI model observability, and automated testing to ensure high-quality releases. Integrated location-aware recommendation engines and automated customer onboarding to reduce onboarding time by 60%. Leveraged cloud architecture optimizations and multi-channel communication APIs to boost user engagement and service accessibility, achieving 50% faster booking times and 35% improved business visibility. Delivered a scalable, highly available conversational AI platform with 99.9% uptime.

Machine Learning Engineer at FedEx

November 30, 2023 - July 24, 2025

Designed and implemented Kafka-based streaming pipelines for real-time reconciliation, improving discrepancy detection by 20%. Built ML pipelines using Azure Machine Learning and Data Factory, automating workflows and enhancing model accuracy by 15%. Delivered PoC for targeted ad delivery handling millions of real-time events during IPL. Developed PySpark modules to optimize data processing, increasing efficiency by 10x. Automated monitoring and job tracking, architected data warehousing schemas, built time series forecasting models, and developed Power BI dashboards for real-time insights. Ensured data security and compliance with Azure RBAC policies and Key Vault integration.

Data Scientist at TCS

September 30, 2022 - July 24, 2025

Created CNN models for crop disease detection with TensorFlow and Amazon Rekognition, enabling real-time crop issue identification. Deployed classification models to Amazon SageMaker with hyperparameter optimization, reducing prediction time by 20%. Managed large datasets with Amazon Redshift and developed end-to-end ML pipelines for automated training and deployment, reducing time-to-production by 35%. Collaborated on data streaming and processing pipelines handling over 2TB daily agricultural data. Developed NLP models for regional report processing and established real-time monitoring dashboards for actionable insights.

Data Analyst at Wipro

August 31, 2020 - July 24, 2025

Streamlined monthly financial reporting by building a centralized Financial Data Warehouse using Azure Synapse and Data Factory. Optimized SQL-based workflows and designed dynamic Power BI dashboards to provide real-time financial KPIs and insights. Automated data staging and transformation, reducing reporting time by 80%, and enhanced data accessibility and consistency across multiple vendors with incremental data loading and efficient schema design.