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Python Engineer with less than a year in RPA & AI Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Automation Developer with hands-on experience in Python-based automation solutions, UiPath and Automation Anywhere 360. Skilled in Excel, Web, Email, and PDF Automation, with experience integrating Agentic AI concepts into RPA workflows. Strong knowledge of Python programming and Generative AI, with a passion for building intelligent automation solutions and exploring AI/LLM technologies.
University College of Engineering and Technology
Bachelor of Technology (B.Tech) · Information Technology
N/A – June 30, 2025
Unknown
Python & RPA Developer
March 1, 2026 – Present
India
ARIA - Voice-Controlled AI Assistant
June 24, 2026 – Present
• Developed a voice-controlled AI assistant inspired by Jarvis/Alexa capable of executing voice commands. • Integrated Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS) technologies. • Enabled automation of desktop tasks, file operations, browser interactions, and workflow execution. • Designed a modular architecture for future integration with smart devices and intelligent automation systems.
AI Chatbot using LLM APIs
June 24, 2026 – Present
• Developed an AI-powered chatbot capable of providing intelligent and context-aware responses. • Integrated Large Language Model (LLM) APIs for conversational AI capabilities. • Applied prompt engineering techniques to improve response accuracy and user experience. • Designed scalable chatbot workflows for real-time interactions.
Insurance Claims Automation Bot
June 24, 2026 – Present
• Developed an intelligent automation solution to streamline insurance claim processing workflows. • Automated extraction and validation of claim-related information from documents. • Generated automated reports and reduced manual processing efforts. • Improved operational efficiency and data accuracy through automation.
LinkedIn Job Scraper & Email Automation
June 24, 2026 – Present
• Developed an automation tool to collect job postings based on specific keywords and job roles. • Extracted recruiter and job-related information from online sources. • Automated email generation and application workflows. • Stored and managed job data in Excel for tracking and reporting.
View ProjectPDF to Excel Data Extraction System
June 24, 2026 – Present
• Built a Python-based solution for extracting data from PDF documents and exporting it to Excel. • Automated data cleaning, transformation, and formatting processes. • Reduced manual data entry efforts and improved processing efficiency. • Designed reusable workflows for handling large volumes of documents.
RPA Process Automation Suite
June 24, 2026 – Present
• Developed multiple end-to-end automation workflows using Automation Anywhere 360. • Automated Excel operations, email workflows, and PDF data extraction processes. • Reduced manual intervention and improved process efficiency. • Delivered automation solutions for repetitive business operations.
Amazon Product Data Scraper
June 24, 2026 – Present
• Developed a UiPath bot to automate product data collection from Amazon. • Extracted product names, prices, ratings, and descriptions. • Stored structured data in Excel for analysis and comparison. • Reduced manual data collection efforts through automation.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in automation, AI, and efficiency, which aligns well with a Python Engineer role focused on intelligent automation. The diversity of projects (AI assistants, chatbots, data extraction, RPA suites) shows a broad application of skills. However, the candidate's experience level is listed as 0, and the current role start date is in the future (March 2026), which raises questions about the practical, real-world application of these skills in a professional setting. This discrepancy impacts the cultural fit assessment, as it suggests a potential mismatch between self-reported experience and actual professional tenure.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and a focus on improving operational efficiency through automation. The ability to collaborate with stakeholders, as mentioned in the experience, suggests good teamwork potential. However, without direct assessment data, specific soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be definitively evaluated.