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I am a results-driven AI engineer with 3+ years of experience designing, developing, and deploying cutting-edge AI and ML solutions that drive business impact. I specialize in Generative AI, large language models, and prompt engineering, translating complex business needs into practical AI strategies that improve customer engagement and operational efficiency. I excel in the full AI lifecycle—from data strategy and model development to MLOps and production deployment on AWS and Azure. I collaborate with cross-functional teams to deliver explainable AI dashboards and scalable AI-powered products that unlock measurable value for stakeholders.…I am a results-driven AI engineer with 3+ years of experience designing, developing, and deploying cutting-edge AI and ML solutions that drive business impact. I specialize in Generative AI, large language models, and prompt engineering, translating complex business needs into practical AI strategies that improve customer engagement and operational efficiency. I excel in the full AI lifecycle—from data strategy and model development to MLOps and production deployment on AWS and Azure. I collaborate with cross-functional teams to deliver explainable AI dashboards and scalable AI-powered products that unlock measurable value for stakeholders.

Sri Vidhya Murakonda

AI Engineer, AI Developer, AI Strategy Consultant, +5

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I am a results-driven AI engineer with 3+ years of experience designing, developing, and deploying cutting-edge AI and ML solutions that drive business impact. I specialize in Generative AI, large language models, and prompt engineering, translating complex business needs into practical AI strategies that improve customer engagement and operational efficiency. I excel in the full AI lifecycle—from data strategy and model development to MLOps and production deployment on AWS and Azure. I collaborate with cross-functional teams to deliver explainable AI dashboards and scalable AI-powered products that unlock measurable value for stakeholders.…I am a results-driven AI engineer with 3+ years of experience designing, developing, and deploying cutting-edge AI and ML solutions that drive business impact. I specialize in Generative AI, large language models, and prompt engineering, translating complex business needs into practical AI strategies that improve customer engagement and operational efficiency. I excel in the full AI lifecycle—from data strategy and model development to MLOps and production deployment on AWS and Azure. I collaborate with cross-functional teams to deliver explainable AI dashboards and scalable AI-powered products that unlock measurable value for stakeholders.

Available to hire

I am a results-driven AI engineer with 3+ years of experience designing, developing, and deploying cutting-edge AI and ML solutions that drive business impact. I specialize in Generative AI, large language models, and prompt engineering, translating complex business needs into practical AI strategies that improve customer engagement and operational efficiency.

I excel in the full AI lifecycle—from data strategy and model development to MLOps and production deployment on AWS and Azure. I collaborate with cross-functional teams to deliver explainable AI dashboards and scalable AI-powered products that unlock measurable value for stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Hindi

Intermediate

Work Experience

AI/ML Engineer at Piper Sandler, Ohio - USA

January 1, 2024 - Present

Developed and deployed a fraud detection system reducing false positives by 25%, saving $1.5M annually. Engineered an NLP-powered customer sentiment analysis tool processing 100,000+ feedback entries monthly, improving accuracy by 18% and customer satisfaction by 10%. Led design and deployment of a personalized banking product recommendation engine with 15% uplift in cross-sell conversions. Improved model inference speed by 40% using TensorRT and ONNX. Automated model retraining pipeline with Kubeflow and Airflow reducing manual effort by 90%. Collaborated on explainable AI dashboards to enhance loan default prediction accuracy by 20%. Pioneered federated learning for data privacy and model accuracy. Authored documentation improving new team onboarding speed by 30%.

Machine Learning Engineer at DataOne, INDIA

November 30, 2022 - August 1, 2025

Designed and implemented a real-time content recommendation engine increasing user engagement by 30%. Developed a computer vision-based video moderation system reducing manual review by 70% with 99.5% compliance. Implemented Generative AI models improving accuracy by 30% and cutting training costs by 25%. Enhanced targeted advertising accuracy by 22%, boosting ad revenue by 12%. Created an NLP metadata tagging model increasing content discoverability by 35%. Optimized data preprocessing pipelines reducing preparation time by 50%. Built churn prediction model achieving 85% precision, reducing churn by 8%. Researched AI-based video compression reducing bandwidth usage by 15%.

AI Engineer at Piper Sandler

January 1, 2024 - November 18, 2025

Led the design, development, and deployment of conversational AI chatbots (GPT-5, Gemini 2.5, Claude, Llama) using Retrieval-Augmented Generation and fine-tuned LLMs, automating 40% of tier-1 customer support inquiries and improving first-contact resolution by 25%. Established a prompt engineering framework and a library of 200+ optimized prompts for internal teams, enabling non-technical users to leverage Generative AI for content creation and data summarization, boosting departmental productivity by 15%. Architected and fine-tuned a BERT-based LLM for customer sentiment analysis, processing over 100,000 feedback entries monthly, improving sentiment classification accuracy by 18% and increasing customer satisfaction by 10%. Enhanced a fraud detection system by integrating a Generative AI model to produce synthetic data, resolving class imbalance issues and boosting the Gradient Boosting model's detection accuracy for rare fraud patterns, contributing to a 25% reduction in false positi

Machine Learning Engineer at DataOne

November 1, 2022 - November 1, 2022

Designed and implemented a real-time content recommendation engine using collaborative filtering and matrix factorization (ALS), increasing user engagement by 30% and average watch time by 20 minutes per session across more than 1 million users. Developed a computer vision-based automated video content moderation system using CNNs (ResNet) and LSTMs, reducing manual review efforts by 70% and ensuring 99.5% compliance with content policies. Implemented Generative AI models (CNNs, GNNs) using PyTorch, improving model accuracy by 30% and reducing training costs by 25%. Improved targeted advertising accuracy by 22% through a user segmentation model based on K-Means clustering and logistic regression, directly contributing to a 12% increase in ad revenue. Built and deployed an NLP model for automated metadata generation, processing over 1,000 hours of video daily, which improved content discoverability by 35% and reduced manual tagging time by 80% using SpaCy and topic modeling. Optimized d