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• Spearheaded specialized prompt engineering for AI projects, focusing on the Wadhawani AI project, to create andoptimize prompts for effective communication with Large Language Models (LLMs) like ChatGPT and Gemini,achieving targeted project objectives.• Led data refinement and analysis using LLMs, processing large datasets to extract nuanced insights and generatedetailed reports, demonstrating a deep expertise in crafting queries that enable LLMs to identify trends andactionable insights.• Enhanced client project efficiency by providing meticulously generated details and insights from LLMs, tailoringprompts to client needs for relevant and impactful outcomes, thereby improving project productivity.• Managed data migration and backend integration, ensuring seamless transfer and integration of processed data intoexisting databases, facilitating further analysis and application in client projects.• Developed advanced-level prompts for detailed information generation from LLMs, leveraging sophisticatedunderstanding of language model dynamics and prompt engineering techniques to produce highly relevant andaccurate outputs.• Implemented AI model testing and validation protocols to ensure accuracy, reliability, and performance, leading toenhanced client satisfaction and project success

The MajiLabs is an AI-powered platform that helps founders and sales reps close more deals through ultra-personalized outreach emails.AI-powered sales platforms that use personalization and automation for outreach emails are becoming increasingly popular. The idea is to leverage artificial intelligence and machine learning to analyze data about prospects, understand their needs and interests, and then automatically generate highly personalized email content at scale.Here are three main goals their solution likely aims to achieve:Increase Email Engagement and Response Rates One of the primary goals would be to leverage AI and personalization to significantly improve the open rates, click-through rates, and response rates for sales outreach emails compared to traditional mass email campaigns. By delivering highly relevant, personalized messages at scale, the platform aims to cut through the noise and capture prospects' attention more effectively.Boost Sales Productivity and Deal Velocity By automating and optimizing various aspects of the outreach process like lead prioritization, email copywriting, cadence scheduling etc., the platform seeks to make sales reps more productive and efficient. This can accelerate deal cycles and allow reps to focus more time on high-value selling activities rather than manual email tasks.Provide Data-Driven Sales Intelligence Another key goal is likely to offer rich data-driven insights into prospect engagement, content performance, optimal outreach strategies, etc. By analyzing large datasets on email interactions and outcomes using AI/ML, the platform aims to surface actionable intelligence that helps sales teams continuously optimize and refine their outbound tactics.

• Developed a Node. js-based bot using Express and React, with a voice interface for a web application, allowing users to interact using spoken queries.• Implemented speech-to-text conversion in the web application using the Express framework, effectivelytransforming user’s voice inputs into text format for processing• Integrated ChatGPT into the bot, leveraging React for seamless integration, to interpret the converted text queries and generate accurate and contextually relevant responses, offering users an engaging conversational experiencethrough the web application.• Developed a full-stack coding editor using React and Node.Js• Includes over 100 programming challenges, multi-language C++, JavaScript, Python support, and real-time code execution with performance metrics.• Utilizes the GitHub API to retrieve information about user repositories, including complex ones.• A Python Flask web application designed to analyze GitHub user-profiles and repositories.• Accepts GitHub user URLs as input to extract data.• Utilizes the GitHub API to retrieve information about user repositories, including complex ones.