I am a results-driven AI/ML Engineer with over 3 years of experience in software engineering, data analytics, and developing Generative AI solutions. I specialize in designing, fine-tuning, and deploying LLM-powered applications that enhance automation, accuracy, and business outcomes. My expertise includes NLP, RAG pipelines, prompt engineering, and cloud AI services such as Azure OpenAI and AWS SageMaker. I have successfully driven measurable impacts including tripling client engagement metrics and reducing manual workloads by over 50% through AI-driven automation. I enjoy collaborating with cross-functional teams to translate business needs into scalable AI products aligned with enterprise goals. I am passionate about leveraging cutting-edge AI technologies to deliver transformative, data-driven business solutions.

Mounika Tatineni

I am a results-driven AI/ML Engineer with over 3 years of experience in software engineering, data analytics, and developing Generative AI solutions. I specialize in designing, fine-tuning, and deploying LLM-powered applications that enhance automation, accuracy, and business outcomes. My expertise includes NLP, RAG pipelines, prompt engineering, and cloud AI services such as Azure OpenAI and AWS SageMaker. I have successfully driven measurable impacts including tripling client engagement metrics and reducing manual workloads by over 50% through AI-driven automation. I enjoy collaborating with cross-functional teams to translate business needs into scalable AI products aligned with enterprise goals. I am passionate about leveraging cutting-edge AI technologies to deliver transformative, data-driven business solutions.

Available to hire

I am a results-driven AI/ML Engineer with over 3 years of experience in software engineering, data analytics, and developing Generative AI solutions. I specialize in designing, fine-tuning, and deploying LLM-powered applications that enhance automation, accuracy, and business outcomes. My expertise includes NLP, RAG pipelines, prompt engineering, and cloud AI services such as Azure OpenAI and AWS SageMaker.

I have successfully driven measurable impacts including tripling client engagement metrics and reducing manual workloads by over 50% through AI-driven automation. I enjoy collaborating with cross-functional teams to translate business needs into scalable AI products aligned with enterprise goals. I am passionate about leveraging cutting-edge AI technologies to deliver transformative, data-driven business solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

AI/ML Engineer – Generative AI at Epsilon Texas
February 1, 2025 - Present
Led the launch of AI-powered personalization and analytics tools improving client engagement metrics by 3× and automating high-volume workflows. Integrated Generative AI tools to enhance marketing analytics efficiency by 40%. Designed and deployed enterprise-scale Generative AI applications using LLMs (GPT-4, Claude, LLaMA) to automate marketing analytics and campaign optimization. Engineered RAG pipelines with LangChain, Pinecone, and FAISS, tripling response precision and reducing irrelevant outputs by 20%. Fine-tuned language models to improve targeted content generation by 25%. Automated real-time data processing workflows, cutting reporting timelines by 50% and errors by 40%. Integrated AI solutions via REST APIs and cloud services, reducing deployment cycles by 30%. Led cross-functional workshops resulting in 5+ production-ready AI solutions. Conducted prompt engineering to minimize hallucinations, boosting trust and adoption. Implemented monitoring pipelines to ensure model per
AI/ML Engineer – Generative AI & NLP at Uber
December 31, 2024 - August 29, 2025
Developed AI-powered prototypes that cut financial data processing time by 40% and improved decision-making accuracy by 30%, facilitating enterprise-wide Generative AI adoption. Automated financial reporting and audit workflows reducing manual time by 45%. Built LLM-powered finance analytics solutions using GPT-4, LangChain, and vector databases reducing reporting effort by 40%. Created NLP pipelines achieving 95% accuracy on over 1 million financial records. Implemented RAG workflows increasing response relevance by 30%. Fine-tuned LLMs for compliance queries with 15% accuracy improvement. Integrated AI models into finance platforms via REST APIs, reducing deployment time by 25%. Collaborated cross-functionally delivering 3+ successful AI prototypes accelerating decision-making.
Software Engineer (AI/ML) at Trigent Software
December 31, 2022 - August 29, 2025
Contributed to AI-driven solutions reducing manual processing by up to 30% and improving data pipeline efficiency for 5+ client projects. Developed AI/ML software components in Python. Built data preprocessing pipelines handling over 2 million records reducing prep time by 35%. Assisted in ML model design and deployment achieving 85-90% accuracy for proof-of-concept initiatives. Implemented REST APIs for AI model inference, reducing integration time by 25%. Participated in code reviews and optimizations improving system performance by 20% and reducing defect rates by 15%. Authored technical documentation improving onboarding by 40%.

Education

Master's degree in Computer Science at University of North Texas
January 1, 2023 - December 31, 2024
Bachelor of Technology in Electrical and Electronics Engineering at Siddhartha Institute of Science and Technology
June 1, 2018 - April 30, 2022

Qualifications

Ultimate AWS Certified Developer Associate
January 11, 2030 - August 29, 2025
The Python Mega Course 2022
January 1, 2022 - August 29, 2025

Industry Experience

Healthcare, Financial Services, Software & Internet

Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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