I am an Applied AI Engineer with a passion for developing AI solutions that create measurable impact. My journey in technology and machine learning has allowed me to work on innovative projects that enhance business efficiency and streamline operations. I believe in the power of AI to transform industries and improve lives, and I continuously seek new challenges to expand my expertise and make a difference in the world of technology.

Akhila Mediboyina

I am an Applied AI Engineer with a passion for developing AI solutions that create measurable impact. My journey in technology and machine learning has allowed me to work on innovative projects that enhance business efficiency and streamline operations. I believe in the power of AI to transform industries and improve lives, and I continuously seek new challenges to expand my expertise and make a difference in the world of technology.

Available to hire

I am an Applied AI Engineer with a passion for developing AI solutions that create measurable impact. My journey in technology and machine learning has allowed me to work on innovative projects that enhance business efficiency and streamline operations. I believe in the power of AI to transform industries and improve lives, and I continuously seek new challenges to expand my expertise and make a difference in the world of technology.

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Experience Level

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

Applied AI Engineer (LLM & Prompt Engineering) at Sprinklr Inc.
July 1, 2024 - Present
Worked on building applied AI solutions leveraging Large Language Models to enhance customer intelligence, automate content understanding, and improve enterprise knowledge workflows within a SaaS platform. Activities included prompt engineering, retrieval-augmented generation (RAG), semantic search, integration of LLM capabilities into scalable Python-based backend services, and exposure of LLM-powered features through RESTful APIs. Implemented text embedding pipelines for semantic search and used vector databases (FAISS/ChromaDB) for document retrieval. Led prompt tuning, evaluation, and guardrails to reduce hallucinations and improve factual accuracy, while collaborating with backend engineers and product teams for production-ready deployment.
Machine Learning Engineer at ValueMomentum Software Services Pvt. Ltd.
April 1, 2021 - July 1, 2023
Worked on applied machine learning solutions focused on predictive modeling, classification, and data-driven insights for enterprise use cases. Responsibilities included data preprocessing, feature engineering, model development (Linear/Logistic Regression, Random Forest, XGBoost, ANN), end-to-end ML pipelines, dashboard integration, and cloud-based testing/deployment (AWS/Azure). Transitioned from internship to full-time ownership of ML tasks and analytics workflows, collaborating with cross-functional teams to deliver analytics-driven outcomes.
Machine Learning Developer at SmartInternz
June 1, 2022 - August 1, 2022
Designed and developed a Plant Seedling Classification system using Convolutional Neural Networks to identify plant species with high accuracy. Built advanced model architectures, implemented data augmentation and normalization, and automated feature extraction and classification for real-time plant species identification. Collaborated with IBM through the Smart Bridge internship program to develop scalable ML solutions. Delivered a deployable ML solution for large-scale agricultural monitoring systems.
Applied AI Engineer at Sprinklr
July 1, 2024 - Present
At Sprinklr, I designed and deployed LLM-powered RAG systems to improve enterprise knowledge automation, achieving a 32% increase in response relevance. I developed advanced semantic search pipelines, enhancing document retrieval accuracy by 35% and integrated OpenAI APIs to automate analytics workflows, significantly reducing manual effort.
Machine Learning Engineer at ValueMomentum Software Services Pvt.Ltd.
April 1, 2021 - July 1, 2023
During my tenure at ValueMomentum, I designed and deployed end-to-end ML pipelines for data-driven forecasting, improving predictive accuracy by 22-30%. I implemented various machine learning models to optimize business operations and developed tools that translated analytics into actionable insights, increasing stakeholder adoption significantly.

Education

Master of Science in Computer Science at Oklahoma City University
January 11, 2030 - July 1, 2025
Bachelor of Technology in Computer Science at Gudlavalleru Engineering College
January 11, 2030 - April 1, 2023
Master of Science in Computer Science at Oklahoma City University
January 11, 2030 - July 1, 2025
Bachelor of Computer Science at Gudlavalleru Engineering College
January 11, 2030 - April 1, 2023
Master’s of Science in Computer Science at Oklahoma City University
August 1, 2023 - May 1, 2025

Qualifications

Internship Certification in Machine Learning
January 11, 2030 - January 20, 2026
Wipro TalentNext Certification in Java J2EE and Java Full Stack Development
January 11, 2030 - January 20, 2026
Agile Training Module, Design Thinking, DevOps Fundamentals Certification (IBM)
January 11, 2030 - January 20, 2026
Principles of Design Thinking, RPA, Cyber Security, Cloud Computing 101 (SkillEdge)
January 11, 2030 - January 20, 2026
Introduction to CyberSecurity Certification (Cisco)
January 11, 2030 - January 20, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment, Healthcare, Education, Manufacturing