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AI Engineer with 1+ years in AI and Automation, specializing in LLMs and Power Platform.
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B.Tech graduate in Computer Science and Engineering, currently working as a Software Engineer with a focus on Artificial Intelligence (AI) and Automation. Experienced in building scalable AI and automation solutions using LLMs, vector databases, MCP Servers, JSON, REST APIs, and Microsoft Power Platform integrations using OpenAI, Gemini models. Developed AI-driven solutions including a Customer Support AI Agent and migrated Monday CRM workflows from Make to n8n for 60% cost efficiency. Skilled in n8n, Power Automate, Copilot Studio, Python and Azure AI services; certified in Microsoft Azure AI Fundamentals (AI-900).
Uttaranchal University
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Nirmal Ashram Deepmala Public School
Senior Secondary School
June 1, 2020 – May 31, 2021
Nirmal Ashram Deepmala Public School
High School
June 1, 2018 – May 31, 2019
CodeStore Technologies Pvt. Ltd.
Software Engineer
June 1, 2025 – Present
Noida, Uttar Pradesh, India
AI-Whatsapp Customer Support Agent
June 1, 2025 – Present
Developed a multi-agent AI system comprising Customer Support, Follow-up, and Lead Qualification agents for an IT sales team, automating customer queries and reducing manual lead qualification effort by 25%. Built an end-to-end RAG pipeline by performing documentation chunking, generating embeddings, and enabling semantic retrieval for accurate product-related query resolution via text-embedding-3-large model. Implemented dynamic follow-up workflows and prompt-engineered lead qualification to classify leads based on conversation history, while leveraging shared context memory for coordinated agent execution. Implemented AI-to-human handoff workflows, conversation monitoring, error alerting, collaboration and lead-tracking mechanisms, improving operational efficiency and reducing support costs by 40%.
DeepResearch Agent Autonomous Multi-Agent Research Pipeline
June 1, 2025 – Present
Built an autonomous multi-agent AI system using LangChain and LangGraph for end-to-end topic research, web search, report generation, and critique. Designed a 4-stage agentic workflow comprising Search Agent, Reader Agent, Writer Chain, and Critic Chain using LCEL and Gemini 2.5 Flash. Implemented tool-using agents with web search and scraping capabilities for autonomous information retrieval. Built and deployed a Streamlit dashboard for real-time agent monitoring.
AI-Powered Employee Assessment Agent
June 1, 2025 – Present
Developed a RAG-based employee assessment platform using Microsoft Copilot Studio that generates dynamic policy assessments from HR, Sales, and departmental wikis through Azure DevOps Wiki, JSON data and Microsoft Graph API integrations. Built a custom Zoho People Web Tab using ZET CLI SDK, REST APIs, and Power Automate cloud flows with logging and automated notifications to automate assessment assignment, Teams and Outlook notifications, along with result tracking. Implemented AI-driven question generation, dynamic assessment sizing based on wiki complexity, semantic retrieval, contextual answer explanations, and policy-grounded responses using GPT-4.1-mini. Developed React-based admin dashboards and AI-generated performance summaries while storing assessment data in Zoho People as backend for compliance reporting and employee knowledge tracking.
AWS Cloud Practitioner
Udemy
June 1, 2026 – Present
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of AI in customer support, research, and HR assessment, indicating adaptability and a broad interest in leveraging AI for various business needs. The use of both low-code and programming tools suggests a pragmatic approach to solution development. The certifications in Azure AI Fundamentals and AWS Cloud Practitioner show a commitment to continuous learning and cloud platform knowledge, which is beneficial for cultural fit in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to collaborate with stakeholders, automate routine tasks, and improve operational efficiency, suggesting a good fit for roles requiring practical problem-solving and impact-driven development. The focus on monitoring, alerting, and human-handoff workflows also points to an understanding of robust system operations.