Open to opportunities

Vikas thirumanyam

@vikasthirumanyam

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AI/ML and Data Engineer building production-ready, cloud-native ML systems for real-time inference and automation.

India

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What I'm looking for

I seek roles building production ML systems and data pipelines in cloud-native environments, with opportunities for impact, collaboration, and growth.

I am an AI/ML and Data Engineer with a Master’s in Computer Applications and hands-on experience building scalable, cloud-native solutions across sentiment analysis, financial forecasting, and salary prediction.

I have deployed models using Hugging Face, Vertex AI, and Flask APIs, optimized latency and accuracy for real-time inference, and implemented CI/CD pipelines to deliver production-ready applications.

My projects include a stock market forecasting platform with containerized backends, a sentiment-analysis chatbot that improved feedback analysis speed, and an employee salary prediction system that improved prediction accuracy by ~18%.

I translate complex technical architectures into actionable insights for stakeholders, follow best practices in monitoring and model evaluation, and bring a problem-solving mindset, strong communication, and an eagerness to learn.

Experience

Work history, roles, and key accomplishments

Artificial Intelligence Intern

EDUNET Foundation

Jun 2025 - Jul 2025 (1 month)

Engineered a salary prediction ML model and deployed a real-time prediction pipeline with a user-friendly interface, improving prediction accuracy through advanced feature engineering and hyperparameter tuning.

Python XGBoost Flask Hyperparameter Tuning CI CD

Artificial Intelligence Intern

BTech Walleh

Sep 2024 - Oct 2024 (1 month)

Fine-tuned DistilBERT to achieve 90%+ sentiment classification accuracy and deployed an automated sentiment-analysis chatbot, reducing manual feedback analysis time by 40% and API latency by 15%.

Python Hugging Face DistilBERT NLP Flask Chatbot Development