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Lead Software Engineer at Adobe
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Skilled software engineer and solopreneur, passionate about leveraging technology to solve real-world problems and drive innovation.
Aligarh Muslim University, Aligarh
Bachelor of Technology (B.Tech.), Electronics Engineering
January 1, 2015 – January 1, 2019
Aligarh Muslim University, Aligarh
Diploma in Electronics Engineering, Electronic
January 1, 2012 – January 1, 2015
Adobe
Lead Software Engineer
June 1, 2025 – Present
Noida, Uttar Pradesh, India
Adobe
Software Engineer 2
February 1, 2022 – July 1, 2025
Noida, Uttar Pradesh, India
Tejas Networks
Engineer, PV
August 1, 2019 – January 1, 2022
Gurugram, Haryana, India
Introduction to agent skills
Anthropic
June 23, 2026 – Present
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
DeepLearning.AI
June 23, 2026 – Present
Sequences, Time Series and Prediction
DeepLearning.AI
June 23, 2026 – Present
ELEC1200.2x: A System View of Communications: From Signals to Packets
Department of Electronic and Computer Engineering,The Hong Kong University of Science and Technology
June 23, 2026 – Present
Introduction to Model Context Protocol
Anthropic
June 23, 2026 – Present
Decentralized Finance (DeFi): The Future of Finance
Duke University
June 23, 2026 – Present
Udacity C++ Nano Degree Program
Udacity
June 23, 2026 – Present
Introduction to Python for Data Science
DataCamp
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's experience is primarily in software engineering roles, with a recent shift towards ML-related certifications. While the certifications show interest in the ML domain, the lack of explicit ML projects or roles in their work history suggests a potential gap in direct cultural fit for a dedicated ML Engineer role without further validation. The experience at Adobe and Tejas Networks indicates adaptability to corporate environments.
Soft Skills & Operational Fit
The candidate's resume indicates progression to a Lead Software Engineer role, suggesting strong leadership and problem-solving skills. However, without psychometric test results or project descriptions, specific soft skills and operational fit cannot be fully assessed.