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AI Engineer with less than a year in data analytics, Python automation, SQL, and AI/ML systems.
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Assessing your cultural and operational fit
Final-year B.Tech Information Technology graduate with hands-on experience in data analytics, Python automation, SQL, and AI/ML systems. Seeking to leverage technical troubleshooting, customer-facing communication, and data-driven problem-solving skills in a Google gTech Ads Support Engineer role - contributing to advertiser success through diagnostics automation, root-cause analysis, and cross-functional collaboration.
JSPM's Rajarshi Shahu College of Engineering, Pune (Pimpri-Chinchwad)
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
Islampur Highschool, Islampur
SSC · Matriculation
N/A – May 31, 2020
Manere Highschool & Junior College, Ichalkaranji
HSC · Science
N/A – May 31, 2022
AI-Driven Rail Madad Complaint Management System
January 1, 2024 – December 31, 2025
Full-stack grievance management web app using NLP/ML (DistilBERT, BART-MNLI, Flask, React.js, Node.js, MongoDB). • Designed end-to-end diagnostic pipeline: automated complaint triage reduced manual review effort by ~60%. • Built analytics dashboards (charts, KPIs) to surface operational trends — directly analogous to ad-performance reporting. • Collaborated across AI/backend/frontend sub-teams, resolving integration issues through structured debugging and root-cause analysis. • Translated complex ML outputs into user-friendly interfaces for non-technical stakeholders.
Age and Gender Detection System
January 1, 2023 – December 31, 2023
Python-based computer vision system using OpenCV DNN and pre-trained Caffe models. • Automated detection pipeline processes image/video streams, reducing manual classification to zero - reflecting automation mindset relevant to ad diagnostics. • Applied data analysis to validate model accuracy across age/gender cohorts; documented results for business stakeholders.
Python Programming
NxtWave
June 1, 2026 – Present
AI Bootcamp
CDAC Pune
June 1, 2026 – Present
Dr. Homi Bhabha Balvaidnyanik Competiti
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI/ML to real-world problems (grievance management, age/gender detection). The mention of 'structured debugging and root-cause analysis' and 'translating complex ML outputs into user-friendly interfaces' suggests a methodical approach and an understanding of user needs, which aligns with a collaborative and impact-driven culture. The certifications in Python and AI Bootcamp further indicate a proactive learning attitude. However, the candidate is a final-year student with no professional experience, which limits the depth of cultural fit assessment based solely on academic projects.
Soft Skills & Operational Fit
The candidate's resume highlights customer communication, technical writing, cross-functional collaboration, and leadership skills. Participation in NCC and ISTE suggests discipline, teamwork, and problem-solving under pressure. These soft skills are valuable for an AI Engineer role that often requires collaboration with diverse teams and clear communication of technical concepts to non-technical stakeholders. The project descriptions indicate an automation mindset and an ability to work on end-to-end solutions.