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Yugendra Ratna

@yugendraratna

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ML Engineer building end-to-end GenAI, data-driven predictive systems, and computer vision solutions.

India

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What I'm looking for

I’m looking to build end-to-end GenAI and ML systems—RAG pipelines, LLM chatbots, and computer vision models—delivering measurable business value in production, with room to innovate, optimize workflows, and improve accuracy continuously.

I’m an ML Engineer with around 5 years of hands-on experience in Data Analytics, Machine Learning, and AI space, transforming raw data into actionable insights and scalable AI-driven solutions for real business growth. My expertise spans Computer Science and Data Science, with a focus on Artificial Intelligence and Machine Learning, Deep Learning, Computer Vision, and Generative Machine Learning.

I specialize in designing and developing end-to-end AI systems—predictive models, RAG (Retrieval-Augmented Generation) pipelines, conversational AI applications, and Agentic AI workflows. Recently, I’ve been focused on RAG architectures with vector databases and semantic retrieval, LLM-powered chatbots and AI assistants, and multi-step AI workflows using LangChain and LangGraph.

In production work, I built a real-time object detection system using YOLO and achieved 89% mean Average Precision (mAP), deploying it on AWS EC2. I also integrated DeepSORT for multi-object tracking and delivered accuracy improvements of 20% through transfer learning on custom datasets, while optimizing ETL processes to cut data processing time by 30% and boost data quality by 25%.

I’m passionate about innovation in AI and Machine Learning, continuously exploring Generative AI, Agentic Systems, and intelligent automation to enhance decision-making and automate complex workflows. I bring a strong production mindset—working with robust orchestration, tool calling, memory systems, and continuous improvement of AI pipelines to ensure measurable business value.

Experience

Work history, roles, and key accomplishments

Data Engineer

Ignatiuz

Jul 2024 - May 2025 (10 months)

Built and deployed a real-time YOLO-based object detection pipeline on AWS EC2 and supported GPU integration in Jupyter Notebook. Optimized ETL processes with Python + BigQuery to reduce data processing time by 30% and improve data quality by 25%, and developed an LLM-driven SQL query assistant using LangChain, Flask, and Groq’s LLaMA3 to reduce hallucinations and improve accuracy.

Python BigQuery ETL YOLO Transfer Learning LLMs (LangChain Flask LLM Applications

AI/ML Engineer

Ignatiuz

Jul 2024 - May 2025 (10 months)

Developed a real-time object detection system using YOLO CNN, achieving 89% mAP and deploying it on AWS EC2. Trained YOLO with transfer learning (+20% detection accuracy), integrated DeepSORT for multi-object tracking (up to 10 objects), and optimized ETL with Python + Snowflake to cut processing time by 30% while improving data quality by 25% and reducing breach risk by 40%.

YOLO Transfer Learning AWS EC2 ETL Snowflake Data Governance Data Security

ML Engineer (Associate)

Perceptions Technologies

Sep 2023 - Jun 2024 (9 months)

Developed and deployed classification and regression models, improving accuracy and overall model performance by 15%. Enhanced ML pipelines through hyperparameter tuning and feature engineering (+20% prediction metrics), and used EDA with Tableau dashboards to improve data insights communication by 30%.

Machine Learning Classification regression Hyperparameter Tuning Feature Engineering Tableau Python

Data Officer

Perceptions Technologies

Sep 2023 - Jun 2024 (9 months)

Developed and deployed ARIMA-based forecasting models on large-scale datasets, increasing forecasting accuracy by 15%. Improved prediction metrics by 20% via feature engineering and hyperparameter tuning, and delivered EDA with interactive dashboards that improved data insights communication by 30% while collaborating with business stakeholders to translate requirements into scalable analytics sol

ARIMA Forecasting Feature Engineering Hyperparameter Tuning Predictive Analytics Dashboards Machine Learning Workflows

Phone Banker

Concentrix India

Jan 2023 - Jun 2023 (5 months)

Managed customer accounts and communications with clarity while ensuring compliance with banking regulations, including identity verification and fraud-prevention security protocols. Collaborated across departments to visualize transaction trends, reducing manual analysis by 30%.

Customer Service Banking Compliance Identity Verification Fraud Prevention Trend Analysis Data Visualization Communication

Data Analyst / Trainer

Luminaakar Edtech

Dec 2020 - Nov 2022 (1 year 11 months)

Converted data into actionable insights by predicting and modeling future outcomes using SQL and analytics workflows. Produced reports on consumer behavior, market opportunities, marketing results, trends, and investment levels using Excel dashboards and visualizations.

SQL Data Warehousing Data Analysis predictive modeling Reporting consumer behavior

Data Science Intern

Peopleclick Techno Solutions Pvt Ltd

Jan 2020 - Jun 2020 (5 months)

Conducted EDA to identify data patterns, trends, and anomalies using statistical techniques and visualization tools. Built and supported machine learning models for predictive analytics, classification, and clustering, and cleaned and transformed raw data through missing-value handling, outlier detection, and feature engineering.

Statistical Analysis data preprocessing Outlier Detection Feature Engineering Predictive Analytics Classification Clustering Machine Learning