Rahul Kare

Software Engineer

Pune, Maharashtra, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Passionate about software development and eager to learn.
Strong foundation in Java and full-stack technologies.
Proven ability to tackle complex challenges effectively.

Stackforce AI infers this person is a Full-Stack Developer with a focus on AI and software engineering.

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Skills

Core Skills

Generative AiAi Model Training

Other Skills

AI EvaluationAppointment SchedulingAuthorizationBack-End Web DevelopmentBitbucketBuild ToolsC++Cascading Style Sheets (CSS)CommunicationComputer ProgrammingCore JavaCricketCustomer EngagementData CurationDatabase Development

About

I am a B.E graduate with a strong passion for software development, currently completing a Java Full Stack Development course to enhance my technical expertise. With a deep understanding of Java, Spring Boot, Microservices, JavaScript, React.js, HTML, CSS, and database management, I am eager to apply my skills to real-world applications in backend, frontend, or full-stack development roles. I enjoy tackling complex challenges and developing scalable, high-performance applications that improve user experience and system efficiency. My technical foundation includes RESTful API development, problem-solving, debugging, and performance optimization, making me adept at building dynamic and efficient solutions. Beyond coding, I thrive in collaborative environments, where I can leverage my analytical thinking and problem-solving abilities to contribute effectively to a team. I am always eager to learn new technologies, stay updated with industry trends, and continuously improve my coding practices. I am actively seeking opportunities to apply my knowledge in a challenging and growth-oriented role. If you're looking for a motivated and technically proficient developer to join your team, let's connect! 🚀

Experience

1 yr 9 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 9 mos

Current Experience

Outlier.ai

Prompt Writer | LLM Model Trainer | AI Trainer Intern

Sep 2024 – Present · 1 yr 9 mos · Remote

Provided human feedback on model outputs, refining AI performance and reducing inaccuracies by iteratively training the model.
Collaborated with AI researchers and engineers to fine-tune model behaviors, ensuring better contextual understanding and response generation.
Designed and tested prompt engineering techniques to maximize response quality across diverse real-world scenarios.
Assisted in evaluating Generative AI models, conducting thorough assessments of response coherence, relevance, and accuracy.
Contributed to AI model training by curating diverse datasets and analyzing system performance to identify improvement areas.
Researched and implemented best practices in prompt writing and AI model refinement, enhancing overall LLM effectiveness.

Prompt EngineeringGenerative AIAI Model TrainingHuman FeedbackLLM OptimizationNLP+2