Software Engineer with 2+ years in Python & Generative AI
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Assessing your cultural and operational fit
Software Engineer with 2+ years of experience developing scalable backend and serverless systems using Python, Django, FastAPI, and AWS. Experienced in building GenAI-powered solutions including semantic search, embeddings, and automation workflows. Delivered high-impact production systems that minimized manual effort by up to 70% and enhanced decision-making through data-driven insights.
AIMIT, St Aloysius College (Autonomous), Mangalore University
Master of Computer Applications · Computer Applications
August 1, 2022 – June 30, 2024
Anjuman Institute Of Technology And Management, Karnataka University
Bachelor of Computer Applications · Computer Applications
August 1, 2018 – June 30, 2022
Moglix (Mogli Labs India Pvt. Ltd.)
Software Engineer (Generative AI)
July 1, 2025 – Present
Noida, Uttar Pradesh, India
Lambdazen India Pvt. Ltd
Software Engineer (Generative AI)
April 1, 2024 – June 1, 2025
Thiruvananthapuram, Kerala, India
Furniture E-Shop
January 1, 2024 – March 1, 2025
• Designed full-stack e-commerce application using Django with authentication, payments, and order tracking. • Integrated authentication and optimized database schema to improve performance.
Cultural Fit Analysis
The candidate's experience across two companies and a personal project, all within a relatively short timeframe, indicates a proactive and engaged approach to career development. The focus on Generative AI and automation aligns well with modern, innovative tech environments. The diversity of projects, including e-commerce, internal tools, and AI-driven systems, suggests a broad interest in technology and a willingness to tackle varied challenges. The clear impact metrics provided in the experience descriptions demonstrate a results-oriented mindset, which is often valued in fast-paced, performance-driven cultures.
Soft Skills & Operational Fit
The candidate's resume highlights significant achievements in automating processes and improving efficiency, suggesting a strong problem-solving orientation and a focus on delivering tangible business value. The descriptions of reducing manual effort by substantial percentages (e.g., 75%, 600+ hours/month, 70%) indicate a results-driven mindset and an ability to identify and implement effective operational improvements. The experience with diverse projects, from vendor recommendation to invoice validation and search platforms, suggests adaptability and a capacity to work across different problem domains.