Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am an AI/ML Engineer with over 4 years of experience designing, developing, and deploying scalable machine learning and NLP solutions in finance and enterprise environments. I have proven expertise in transformer-based models such as BERT, T5, and GPT, as well as MLOps and real-time AI systems. I focus on optimizing performance, reducing latency, and improving accuracy. I am adept at developing end-to-end ML pipelines—from data preprocessing and model training to deployment and monitoring—using tools like Docker, Airflow, CI/CD pipelines, and cloud platforms. In my current role, I build scalable NLP pipelines, fine-tune transformer models, integrate MLOps practices, and lead machine learning project prioritization. I have successfully deployed fraud detection and credit risk models, improved customer service automation, and implemented real-time model monitoring tools. I am passionate about leveraging AI to solve complex business challenges efficiently and reliably.…I am an AI/ML Engineer with over 4 years of experience designing, developing, and deploying scalable machine learning and NLP solutions in finance and enterprise environments. I have proven expertise in transformer-based models such as BERT, T5, and GPT, as well as MLOps and real-time AI systems. I focus on optimizing performance, reducing latency, and improving accuracy. I am adept at developing end-to-end ML pipelines—from data preprocessing and model training to deployment and monitoring—using tools like Docker, Airflow, CI/CD pipelines, and cloud platforms. In my current role, I build scalable NLP pipelines, fine-tune transformer models, integrate MLOps practices, and lead machine learning project prioritization. I have successfully deployed fraud detection and credit risk models, improved customer service automation, and implemented real-time model monitoring tools. I am passionate about leveraging AI to solve complex business challenges efficiently and reliably.

Revanth Apuri

AI Engineer, Data Scientist, Developer, +2





I am an AI/ML Engineer with over 4 years of experience designing, developing, and deploying scalable machine learning and NLP solutions in finance and enterprise environments. I have proven expertise in transformer-based models such as BERT, T5, and GPT, as well as MLOps and real-time AI systems. I focus on optimizing performance, reducing latency, and improving accuracy. I am adept at developing end-to-end ML pipelines—from data preprocessing and model training to deployment and monitoring—using tools like Docker, Airflow, CI/CD pipelines, and cloud platforms. In my current role, I build scalable NLP pipelines, fine-tune transformer models, integrate MLOps practices, and lead machine learning project prioritization. I have successfully deployed fraud detection and credit risk models, improved customer service automation, and implemented real-time model monitoring tools. I am passionate about leveraging AI to solve complex business challenges efficiently and reliably.…I am an AI/ML Engineer with over 4 years of experience designing, developing, and deploying scalable machine learning and NLP solutions in finance and enterprise environments. I have proven expertise in transformer-based models such as BERT, T5, and GPT, as well as MLOps and real-time AI systems. I focus on optimizing performance, reducing latency, and improving accuracy. I am adept at developing end-to-end ML pipelines—from data preprocessing and model training to deployment and monitoring—using tools like Docker, Airflow, CI/CD pipelines, and cloud platforms. In my current role, I build scalable NLP pipelines, fine-tune transformer models, integrate MLOps practices, and lead machine learning project prioritization. I have successfully deployed fraud detection and credit risk models, improved customer service automation, and implemented real-time model monitoring tools. I am passionate about leveraging AI to solve complex business challenges efficiently and reliably.

Available to hire

I am an AI/ML Engineer with over 4 years of experience designing, developing, and deploying scalable machine learning and NLP solutions in finance and enterprise environments. I have proven expertise in transformer-based models such as BERT, T5, and GPT, as well as MLOps and real-time AI systems. I focus on optimizing performance, reducing latency, and improving accuracy. I am adept at developing end-to-end ML pipelines—from data preprocessing and model training to deployment and monitoring—using tools like Docker, Airflow, CI/CD pipelines, and cloud platforms.

In my current role, I build scalable NLP pipelines, fine-tune transformer models, integrate MLOps practices, and lead machine learning project prioritization. I have successfully deployed fraud detection and credit risk models, improved customer service automation, and implemented real-time model monitoring tools. I am passionate about leveraging AI to solve complex business challenges efficiently and reliably.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

AI-ML Engineer at Citigroup

October 1, 2022 - Present

Led development and deployment of scalable NLP pipelines processing over 2 million financial documents monthly, cutting manual work by 45% and increasing data extraction accuracy by 18%. Designed and fine-tuned transformer-based large language models such as BERT and T5 for customer service automation, reducing average response time by 27% and improving resolution accuracy. Integrated MLOps practices with Docker, Airflow, and CI/CD pipelines, decreasing model deployment time by 40%. Prioritized ML applications leading to deployment of three predictive models that enhanced fraud detection by 22%. Trained ensemble models for credit risk prediction improving F1-score by 0.14 and reducing false positives by 16%. Implemented real-time monitoring tools using Prometheus and Grafana to detect anomalies with latency under 5 minutes. Conducted A/B tests increasing customer engagement by 12%. Documented pipelines and complied with audit standards improving audit turnaround by 35%. Optimized AWS c

GEN AI Engineer at Aspire Technolab

July 1, 2021 - August 5, 2025

Assisted in building prototype text generation models using LSTM and GRU, improving training efficiency by 20% on small to mid-scale datasets. Developed chatbot frameworks for local businesses, reducing manual support by over 30%. Fine-tuned pre-trained transformer models like GPT-2 and T5 on domain-specific corpora for summarization and content generation, boosting relevancy by 25%. Integrated basic model monitoring scripts with Python logging, maintaining over 95% uptime. Performed data cleaning and annotation enhancing labeled data accuracy by 15%. Built reusable text pre-processing modules reducing preprocessing time by 40%. Collaborated with senior developers to containerize ML models using Docker and Flask for quicker testing and deployment. Documented model architecture and tuning logs, accelerating onboarding by 30%.