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I am a results-driven AI/ML Engineer and Data Scientist with over 3 years of experience designing, deploying, and optimizing production-grade AI solutions across various domains including industrial automation, customer analytics, and academic research. I am passionate about translating complex business challenges into scalable, real-time AI systems that deliver measurable impact. Throughout my career, I have honed my skills in LLM application development, cloud-based deployments, and data pipeline automation, using tools like PyTorch, LangChain, Kafka, and various BI platforms. I enjoy collaborating in Agile environments and continuously improving model performance via innovative solutions and monitoring.…I am a results-driven AI/ML Engineer and Data Scientist with over 3 years of experience designing, deploying, and optimizing production-grade AI solutions across various domains including industrial automation, customer analytics, and academic research. I am passionate about translating complex business challenges into scalable, real-time AI systems that deliver measurable impact. Throughout my career, I have honed my skills in LLM application development, cloud-based deployments, and data pipeline automation, using tools like PyTorch, LangChain, Kafka, and various BI platforms. I enjoy collaborating in Agile environments and continuously improving model performance via innovative solutions and monitoring.

Rohith Pathi

AI Engineer, Data Scientist, Developer, +2

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I am a results-driven AI/ML Engineer and Data Scientist with over 3 years of experience designing, deploying, and optimizing production-grade AI solutions across various domains including industrial automation, customer analytics, and academic research. I am passionate about translating complex business challenges into scalable, real-time AI systems that deliver measurable impact. Throughout my career, I have honed my skills in LLM application development, cloud-based deployments, and data pipeline automation, using tools like PyTorch, LangChain, Kafka, and various BI platforms. I enjoy collaborating in Agile environments and continuously improving model performance via innovative solutions and monitoring.…I am a results-driven AI/ML Engineer and Data Scientist with over 3 years of experience designing, deploying, and optimizing production-grade AI solutions across various domains including industrial automation, customer analytics, and academic research. I am passionate about translating complex business challenges into scalable, real-time AI systems that deliver measurable impact. Throughout my career, I have honed my skills in LLM application development, cloud-based deployments, and data pipeline automation, using tools like PyTorch, LangChain, Kafka, and various BI platforms. I enjoy collaborating in Agile environments and continuously improving model performance via innovative solutions and monitoring.

Available to hire

I am a results-driven AI/ML Engineer and Data Scientist with over 3 years of experience designing, deploying, and optimizing production-grade AI solutions across various domains including industrial automation, customer analytics, and academic research. I am passionate about translating complex business challenges into scalable, real-time AI systems that deliver measurable impact.

Throughout my career, I have honed my skills in LLM application development, cloud-based deployments, and data pipeline automation, using tools like PyTorch, LangChain, Kafka, and various BI platforms. I enjoy collaborating in Agile environments and continuously improving model performance via innovative solutions and monitoring.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI/ML Engineer at ARAPL

June 30, 2023 - August 13, 2025

Designed and deployed end-to-end ML pipelines using PyTorch, Scikit-learn, and XGBoost for predictive maintenance and anomaly detection, reducing unplanned equipment downtime by 27%. Developed LLM-based Q&A systems utilizing LangChain, OpenAI API, and FAISS vector stores for internal documents with 85% user satisfaction. Fine-tuned transformer models for document summarization and semantic search, enabling fast information retrieval. Automated scalable ETL pipelines processing real-time sensor data from 500+ manufacturing machines using Apache Airflow, Kafka, and dbt. Containerized and deployed models via Docker, Flask, Kubernetes, and AWS SageMaker achieving under 200ms latency for 5,000 concurrent inference requests. Created real-time monitoring dashboards in Power BI and Looker, supporting proactive model retraining decisions. Applied ARIMA, Prophet forecasting, and classification models to optimize production planning, improving resource allocation efficiency by 15%. Collaborated i

Data Scientist at Zentek Infosoft

January 31, 2022 - August 13, 2025

Designed, trained, and deployed ML models such as XGBoost and TensorFlow for churn prediction and product affinity scoring, reducing churn by 22% and increasing cross-sell conversion by 15%. Built and automated scalable ETL pipelines using PySpark, Airflow, and dbt to process over 50 million records daily from Snowflake and BigQuery, reducing data latency by 40%. Developed interactive Tableau and Power BI dashboards integrating real-time KPI tracking to drive quarterly product strategy meetings. Conducted A/B testing and statistical hypothesis testing on marketing campaigns, improving ROI by 18% and informing pricing models. Engineered LLM-powered document summarization and semantic search systems using LangChain, Hugging Face Transformers, and FAISS vector stores, reducing document retrieval time from minutes to seconds. Containerized and deployed AI services using Docker, Flask, and AWS Lambda; implemented Git-based CI/CD pipelines and model monitoring for continuous performance opti

Data Scientist Intern at Zentek Infosoft

December 31, 2020 - August 13, 2025

Performed exploratory data analysis on multi-million row datasets from PostgreSQL and Snowflake, improving data quality via automated cleaning scripts reducing missing values by 30%. Developed prototype customer segmentation models using K-Means and PCA to improve targeted marketing campaigns, increasing lead conversion rates in pilot testing. Created internal KPI dashboards in Tableau and Streamlit, reducing manual reporting time from days to minutes for operations teams. Assisted in early-stage pipeline automation efforts, contributing to scalable data ingestion and preprocessing workflows. Collaborated in Agile delivery cycles, documenting sprint goals and handoffs in JIRA.