R Ohmprakaash

Consultant Generative AI

InMobi

Jul 2024 - Jan 2025 (7 months)

• Built a CrewAI-Agent for content generation engine, utilizing agentic workflows for scalable and contextually accurate content solutions. • Developed LLM-based contextual engines utilizing pre-trained models to achieve high text simialrity metrics. • Developed a Agentic RAG system using ChromaDB and DistilBERT embeddings for financial/trading data analysis.. • Created structured prompting techniques to ensure accuracy in text-to-image generation tasks. • Utilized multi-modal models across text, image, and audio to enhance the quality and contextual relevance of generated content for advertisement projects. • Utilized the NoSQL databa se MongoDB and Docker for containerization, ensuring consistent version control and deployment. • B

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Generative AI Research Assistant(Full

Ethos Engine AI

Mar 2024 - Apr 2024 (2 months)

• Established research methodologies for zero-shot forecasting using GPT-based time series models (LLMTime), enabling predictive analysis of feed consumption, growth, and environmental impact with minimal reliance on historical data. • Established research methodologies for AI-powered anomaly detection systems using image recognition and temperature monitoring to detect contaminants in livestock feed, ensuring high-quality standards and animal health. • Evaluated the ethical and practical implications of AI models, addressing biases, scalability, and accuracy challenges in generative and traditional AI frameworks.

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JuniorAI Engineer- Generative AI

Honey Iconics

Mar 2023 - Feb 2024 (1 year)

• Leveraging AI in digital marketing strategies can lead to a 10 percent increase in campaign engagement. • Fine-tuning large language models (LLMs) for personalized content creation • Developed and implemented AI-powered tools to optimize SEO strategies, including keyword analysis, content recommendation, and performance prediction, resulting in improved search engine rankings and organic traffic. .

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Junior Data Analyst

KVB Central Office

Aug 2021 - Apr 2022 (9 months)

• Responsible for data cleaning to ensure accuracy, consistency and reliability of data sets. • Developed feature engineering techniques to improve the performance of the predictive model and extract meaningful insights. • Created and delivered impactful data visualizations using Python libraries such as Matplotlib, Seaborn, and Plotly to communicate findings to stakeholders.

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