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AI Engineer with 2+ years in Python, Azure & LLMs for Intelligent Automation
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Assessing your cultural and operational fit
AI Engineer with industry experience at Infosys BPM, building backend systems using Python, Azure, and Large Language Models (LLMs). Skilled in developing intelligent automation pipelines for enterprise systems specializing in logging, document generation, and containerized deployments. Previously interned at BGOS Consulting, where I applied Python and Excel to financial data analysis and prediction, delivering high-impact automation and insights. Fast learner, analytical thinker, and effective collaborator.
NITTE MEENAKSHI INSTITUTE of TECHNOLOGY
Bachelor of Engineering · Computer Science and Engineering
August 1, 2019 – June 30, 2023
Infosys BPM
System Engineer - AI Engineer
May 1, 2025 – Present
Bengaluru, Karnataka, India
Infosys BPM
System Engineer - AI Engineer
January 1, 2025 – April 1, 2025
Bengaluru, Karnataka, India
BGOS Consulting Service Private Limited (BGOS Group)
Data Analyst
August 1, 2023 – August 1, 2024
India
Car Sales
June 24, 2026 – Present
Standardized date formats & column naming in PySpark, reducing downstream query errors by 5%. Automated data transformation into Delta Lake format, enabling 4% faster queries in Synapse & Power BI. Built dynamic SQL procedures to auto-generate Gold layer views, saving 2+ hours/month in manual effort. Developed Power BI dashboards delivering real-time KPIs, accelerating decision-making by 8%.
Crop Prediction
June 24, 2026 – Present
Developed a Flask-based ML web app for crop recommendation using Random Forest and XGBoost with 70% accuracy. Processed and analyzed 2,200+ soil and climate data points (N, P, K, temperature, humidity, pH, rainfall) for predictive modeling. Reduced crop selection time from 1+ hours to under 5 seconds per query through automated predictions. Improved recommendation reliability by 18% compared to baseline models, supporting 50+ farmer inputs daily
Cultural Fit Analysis
The candidate's project diversity, ranging from car sales data analysis to crop prediction and enterprise AI solutions, indicates adaptability and a broad interest in applying technical skills to different domains. Their experience as an AI Engineer at Infosys BPM aligns well with the target role, showcasing practical application of AI/ML in an enterprise setting. The internship as a Data Analyst also provides a solid foundation in data processing and insights. The breadth of skills across programming, ML/AI, data science, data engineering, and cloud/DevOps suggests a proactive learning attitude and a good fit for dynamic technical environments. However, the lack of diverse organizational experience outside of Infosys BPM (excluding internship) might indicate a need for exposure to different corporate cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking and problem-solving skills through their project work and experience descriptions. Their ability to collaborate across teams and implement structured logging indicates an operational mindset. The focus on efficiency gains and error reduction in their projects suggests a results-oriented approach. However, without specific psychometric or English test results, a deeper assessment of communication clarity, work attitude, stress handling, and team collaboration is limited.