Athikari Rukesh

Product Manager

Vijayawada, Andhra Pradesh, India1 yr 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building intelligent systems with LLMs and RAG.
Successfully improved pricing accuracy by 10% in AI projects.
Certified in AI for Product Management and Agile Scrum.

Stackforce AI infers this person is a SaaS-focused AI Product Engineer with a strong emphasis on product strategy and development.

Contact

rukesh.athikari@wingify.com LinkedIn

Skills

Core Skills

Ai AgentsProduct DevelopmentProduct StrategyMarket Research

Other Skills

Amazon Web Services (AWS)Analytical SkillsArtificial Intelligence (AI)Career Path PlanningCommunicationCompetitive AnalysisCritical ThinkingData AnalysisData ScienceDatabase DevelopmentDatabasesDeep LearningDockerEasily AdaptableEmail Marketing

About

Hey, I'm Rukesh Athikari, an AI Product Engineer with a knack for bringing AI to life! I bridge the gap between AI engineering, product thinking, and decision intelligence. My expertise? Building intelligent systems with LLMs, RAG, and agentic AI to create scalable, impactful solutions. At Kimaru.ai, I worked on AI-driven dynamic pricing, and as a product intern, I helped turn ideas into tangible MVPs and user stories. My portfolio includes a RAG Medical Chatbot, a Sentiment Analysis system, and AI automation tools – all built to drive real-world outcomes. I'm solid on the tech stack: Python, SQL, Spark, AWS, NLP tools, you name it. Plus, I'm certified in AI for Product Management and Agile Scrum, making me a versatile team player. Passionate about crafting intelligent, user-centric systems where AI innovation meets product impact. Currently exploring AI product, ML engineering, or technical product management opportunities!

Experience

1 yr 4 mos

Total Experience

5 mos

Average Tenure

9 mos

Current Experience

Wingify

Product Intern

Sep 2025 – Present · 9 mos · Delhi, India. · Remote

Kimaru.ai

AI engineer Intern

Mar 2025 – Jul 2025 · 4 mos · Tokyo, Japan · Remote

Collaborated with cross-functional teams to develop AI-based dynamic pricing models, enhancing operational efficiency in supply
chain management.
Gathered and documented product requirements, assisted in sprint planning, and worked closely with tech teams to deploy AI models with AWS SageMaker.
Improved real-time pricing accuracy by 10%, showcasing strong skills in requirement gathering, agile execution, and stakeholder collaboration.

AI AgentsAmazon Web Services (AWS)SlackProduct DesignProduct DevelopmentMarket Research

Stealth startup

Product Intern

Oct 2024 – Jan 2025 · 3 mos · Remote

Worked with the founding team to define and prioritize MVP features, translating 5+ early-stage ideas into clear product requirements and user stories, accelerating the MVP roadmap by 20%.
Conducted comprehensive market and competitor research across 10+ product features, identifying 5 high impact feature opportunities that improved product–market fit and guided strategic decisions.
Assisted in launching new features by coordinating with cross-functional teams, ensuring 100% on-time delivery, and aligning with marketing to drive release campaigns, resulting in a 15% increase in user engagement within the first month.
Bridged product and business objectives by aligning feature development with market demand, optimizing resource allocation, and contributing to a projected 12% revenue growth in the following quarter.

Market ResearchCompetitive AnalysisUser ResearchUser InterviewsGo-to-Market StrategyProduct Strategy