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Hi, I'm Manidedeepya, an AI/ML Engineer with over 4 years of experience in building and deploying scalable machine learning systems. I specialize in large language models, generative AI, and real-time recommendation engines. I'm passionate about leveraging AI to drive automation, improve performance, and ensure fairness and transparency in production environments. I enjoy collaborating across teams to develop innovative AI solutions that power ad platforms and financial applications. Whether it's fine-tuning LLMs, building vision diffusion models, or designing scalable inference pipelines, I thrive on solving complex problems and delivering impactful AI technologies.…Hi, I'm Manidedeepya, an AI/ML Engineer with over 4 years of experience in building and deploying scalable machine learning systems. I specialize in large language models, generative AI, and real-time recommendation engines. I'm passionate about leveraging AI to drive automation, improve performance, and ensure fairness and transparency in production environments. I enjoy collaborating across teams to develop innovative AI solutions that power ad platforms and financial applications. Whether it's fine-tuning LLMs, building vision diffusion models, or designing scalable inference pipelines, I thrive on solving complex problems and delivering impactful AI technologies.

Manidedeepya Chennapragada

AI Engineer, AI Ethics Consultant, Developer, +2

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Hi, I'm Manidedeepya, an AI/ML Engineer with over 4 years of experience in building and deploying scalable machine learning systems. I specialize in large language models, generative AI, and real-time recommendation engines. I'm passionate about leveraging AI to drive automation, improve performance, and ensure fairness and transparency in production environments. I enjoy collaborating across teams to develop innovative AI solutions that power ad platforms and financial applications. Whether it's fine-tuning LLMs, building vision diffusion models, or designing scalable inference pipelines, I thrive on solving complex problems and delivering impactful AI technologies.…Hi, I'm Manidedeepya, an AI/ML Engineer with over 4 years of experience in building and deploying scalable machine learning systems. I specialize in large language models, generative AI, and real-time recommendation engines. I'm passionate about leveraging AI to drive automation, improve performance, and ensure fairness and transparency in production environments. I enjoy collaborating across teams to develop innovative AI solutions that power ad platforms and financial applications. Whether it's fine-tuning LLMs, building vision diffusion models, or designing scalable inference pipelines, I thrive on solving complex problems and delivering impactful AI technologies.

Available to hire

Hi, I’m Manidedeepya, an AI/ML Engineer with over 4 years of experience in building and deploying scalable machine learning systems. I specialize in large language models, generative AI, and real-time recommendation engines. I’m passionate about leveraging AI to drive automation, improve performance, and ensure fairness and transparency in production environments.

I enjoy collaborating across teams to develop innovative AI solutions that power ad platforms and financial applications. Whether it’s fine-tuning LLMs, building vision diffusion models, or designing scalable inference pipelines, I thrive on solving complex problems and delivering impactful AI technologies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Machine Learning Engineer at Meta LLaMA (Large Language Model Meta AI)

January 1, 2024 - Present

Developed and fine-tuned large language models using PyTorch and LLaMA 2/3 to enhance generative ad copy, boosting click-through rates by 11%. Built and deployed vision diffusion models for image background generation and animated video creatives, increasing ad engagement by 13% and accelerating ad delivery by 60%. Conducted research and prompt-tuning experiments improving ad copy relevance by 9%. Engineered real-time ad recommendation models using deep neural networks and reinforcement learning, contributing to a 7.6% conversion rate lift. Designed scalable inference pipelines with ONNX, TorchScript, achieving sub-100ms latency supporting 10M+ daily requests. Led canary deployments and A/B tests validating 5%+ uplift at production scale. Integrated multi-modal pipelines increasing platform engagement by 8%. Developed real-time scalable data pipelines and monitoring dashboards. Collaborated cross-functionally to implement AI watermarks and safety filters, reducing unsafe events by 35%.

AI/ML Engineer at PwC

July 1, 2022 - August 1, 2025

Developed and deployed credit risk models reducing loan default rates by 23%. Designed NLP pipelines for financial document classification improving compliance accuracy by 30%. Built real-time fraud detection systems processing millions of transactions daily, reducing fraud loss by 40%. Automated ML lifecycle cutting deployment time from 2 weeks to under 48 hours. Developed explainable AI workflows for transparency and compliance with regulatory guidelines. Led AI-powered chatbot deployment achieving 90% query resolution accuracy. Collaborated in Agile teams delivering scalable AI solutions supporting $50M+ portfolios. Created predictive analytics dashboards improving executive decision-making. Integrated ML models with enterprise systems reducing manual reporting. Spearheaded Responsible AI initiatives to audit and reduce bias in lending models.