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Software Engineer with less than a year in Data Engineering & Backend Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer experienced in building scalable backend systems and end-to-end applications, specializing in data engineering. Designed and optimized data pipelines, ingestion workflows, and backend services. Proficient in developing APIs with Spring Boot and building responsive frontend components, with experience in large-scale data processing on cloud platforms.
NMAM Institute of Technology
Bachelor of Engineering · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
Louisa AI (Spin-off of Goldman Sachs)
Software Engineer I
January 1, 2025 – May 1, 2026
India
Louisa AI (Spin-off of Goldman Sachs)
Software Engineer Intern
January 1, 2025 – June 1, 2025
India
Hewlett Packard Enterprise (HPE)
CTY Intern
February 1, 2024 – July 1, 2024
India
Customer Review Analysis
June 18, 2026 – Present
Built an end-to-end sentiment analysis pipeline for e-commerce reviews, achieving 97% accuracy and generating actionable insights
Indian Sign Language Character Recognition
June 18, 2026 – Present
Built a CNN-based computer vision model for real-time Indian Sign Language character recognition Preprocessed and augmented image data for gesture classification, enabling gesture-to-text communication for accessibility applications
Cultural Fit Analysis
The candidate's experience spans a spin-off of a major financial institution (Goldman Sachs) and a large tech company (HPE), indicating exposure to diverse corporate environments. Their academic background in AI/ML, coupled with practical project work, suggests a strong interest in cutting-edge technologies and continuous learning. The blend of backend development, data engineering, and machine learning skills aligns well with roles requiring a versatile engineer capable of contributing across different parts of the stack. The project diversity (sentiment analysis, sign language recognition) shows a breadth of interest and potential for cross-functional contributions.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to problem-solving and system improvement, as evidenced by their contributions to entity resolution and data service integration. Their experience in both backend development and data engineering suggests adaptability and a broad technical perspective. The academic projects highlight an interest in applying AI/ML to real-world problems, indicating an innovative mindset. However, without direct assessment data on collaboration or communication style, specific soft skill strengths are inferred from project descriptions.