AI Engineer with 1+ years in AI, Machine Learning & BFSI domain.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech (AI & ML) graduate and Business Analyst at RBL Bank with hands-on experience processing 23 lakh+ rows of banking data, engineering NLP training pipelines, and building production-ready AI automation tools. Sole builder of a Treasury automation system (AI + NLP) awaiting deployment; delivered a Finacle Chatbot training dataset cleaned from 6,300+ to 2,312 rows now in active use for AI response generation. Bridges technical depth and business impact, a rare combination in BFSI.
Shree Guru Gobind Singh Tricentenary University, Gurugram
B.Tech · Computer Science & Engineering (AI & ML)
August 1, 2020 – June 30, 2024
RBL Bank
Business Analyst (Intern)- Client Insights
December 1, 2025 – Present
India
Mozaiq Automation Pvt. Ltd.
Data Science Intern
December 1, 2023 – May 1, 2024
India
Twitter Sentiment Analysis
June 1, 2026 – Present
Developed an NLP-based sentiment pipeline for large-scale Twitter data; built Power BI dashboards to visualize audience sentiment trends and support analytical reporting.
Boston House Price Prediction
June 1, 2026 – Present
Built an ML regression model with feature engineering to predict housing prices; derived actionable pricing insights from model performance evaluation.
AI Foundation
Unknown
June 1, 2026 – Present
Python Programming
Unknown
June 1, 2026 – Present
Probability Modelling using Python
Unknown
June 1, 2026 – Present
Data Analysis using Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience in both a large financial institution (RBL Bank) and a smaller automation company (Mozaiq Automation) demonstrates adaptability to different organizational cultures. Their focus on AI/ML and NLP aligns well with an AI Engineer role. The diversity of projects, from sentiment analysis to house price prediction and complex banking automation, indicates a broad interest in applying AI across various domains. The detailed descriptions of their contributions suggest a results-oriented and collaborative mindset, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by pivoting to a GPT-based extraction pipeline when rule-based tools failed. Their work on automating eligibility checks and forex trade call recordings shows a proactive approach to process improvement and efficiency. The implementation of a human-in-the-loop validation layer indicates an understanding of the importance of accuracy and compliance in critical financial workflows. The detailed descriptions of project contributions suggest good communication of technical work and its business impact.