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Software Engineer with less than a year in AI, Python & Workflow 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
AI and Data Science graduate with hands-on experience in Python, REST APIs, NLP-based automation, workflow orchestration, and backend system design. Proven ability to build scalable, production-ready intelligent applications during internship and project engagements. Skilled in model integration, data processing pipelines, CRM automation, AI-powered email handling, and performance optimization. Passionate about developing innovative AI solutions that drive real-world business impact.
Agni College of Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
AKT Academy Matriculation Hr. Sec. School
Higher Secondary Certificate (HSC)
June 1, 2022 – May 31, 2022
AKT Academy Matriculation Hr. Sec. School
Secondary School Certificate (SSLC)
June 1, 2020 – May 31, 2020
Digimabble
AI Engineer Intern
December 1, 2025 – Present
India
AI Email Management Automation
December 1, 2025 – January 1, 2026
Built an automated email triage system that reduced manual email processing by 60% using AI-based text classification to categorize, prioritize, and route incoming emails. Implemented auto-reply generation and structured data extraction integrated with email service APIs, reducing manual handling time and improving response turnaround. Designed scalable workflow logic with conditional rules and robust error handling to ensure reliable, high-volume email event processing.
Linkedin Lead Generation CRM
November 1, 2025 – December 1, 2025
Developed an automated LinkedIn lead extraction and enrichment pipeline to collect, structure, and store prospect data into a centralized CRM database. Implemented lead scoring, tagging, and status tracking features to streamline sales funnel management and improve follow-up efficiency by 40%. Built workflow automation for outreach preparation including segmentation, filtering, and report generation to support targeted marketing campaigns.
Full Stack Python
FITA Academy
January 1, 2026 – Present
Full Stack Development
Udemy
December 1, 2024 – Present
Joy of Computing using Python
NPTEL
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experience show a strong interest in AI and automation, aligning well with innovative and tech-driven environments. The diversity of projects (email automation, CRM, chatbot integration) indicates adaptability and a broad problem-solving approach. The certifications in Full Stack Python and Full Stack Development suggest a proactive learning attitude, which is a positive cultural indicator. However, the candidate's experience level is entry-level, which might require mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Team Collaboration, Leadership, Multitasking, and Problem Solving. Project descriptions indicate an ability to work on end-to-end solutions and collaborate with cross-functional teams, suggesting a good operational fit for roles requiring independent work and teamwork. However, without specific examples or interview data, the depth of these soft skills cannot be fully assessed.