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AI Engineer with 1+ years in Python, Machine Learning & Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Inspired and enthusiastic Computer Science graduate with hands-on experience in Python, Java, Machine Learning, and Web Development. Skilled in building real-world applications including recommendation systems, data-driven weather monitoring platforms, and deep learning solutions. Strong problem-solving ability with a quick-learning mindset and an analytical approach. Seeking an opportunity to contribute to impactful software projects and grow as a developer in a dynamic organization.
Keshav Memorial Institute of Technology (KMIT)
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2024
GENPACT
PROCESS ASSOCIATE
November 1, 2024 – Present
India
Loan Intelligence AI
June 27, 2026 – Present
Developed an end-to-end AI-powered loan intelligence system that predicts loan approval and provides financial insights using machine learning models and LLM-based query analysis. Implemented a probability-based 3-tier decision engine (Approved / Manual Review / Rejected) with a dynamic risk scoring system (0-100 scale) to improve interpretability beyond traditional binary classification. Built a scalable backend using Python, FastAPI/Flask and REST APIs, enabling real-time processing of financial data and user queries with ~300–500 ms response time. Developed a modern React frontend integrated with backend APIs, featuring real-time loan evaluation results and visual risk gauges, improving interpretability for users. Designed a React-based interactive frontend with real-time API integration and visual risk gauge; deployed using Render (backend) and Vercel (frontend) with modular architecture and structured logging for scalability.
Cancer Detection From Blood Cell Imaging Using Deep Learning
June 27, 2026 – Present
Applied Convolutional Neural Networks (CNNs) to diagnose cancerous cells from microscopic blood images. Achieved a 15% improvement in identification accuracy of abnormal patterns. Targeted a 20% increase in diagnostic efficiency and a 15% reduction in diagnostic delays to boost patient outcomes.
Participated in inter-college hackathons and coding competitions, consistently ranked in top 10%
Unknown
June 1, 2026 – Present
Demonstrated strong teamwork and leadership through sports involvement and collaborative project execution
Unknown
June 1, 2026 – Present
J.P. Morgan Software Engineering Virtual Experience
Forage
March 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including financial AI and medical image analysis, demonstrates a broad interest in applying AI across different domains. The involvement in hackathons and coding competitions, along with collaborative project execution, indicates a proactive and team-oriented mindset. The 'Continuous Learner' soft skill aligns well with a culture of innovation and growth. However, the current professional experience as a 'PROCESS ASSOCIATE' is not directly aligned with a senior AI Engineer role, which might require a transition period to fully integrate into a highly technical team culture.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as 'Curious and Driven', 'Communication', 'Teamwork', 'Multitasking', 'Critical Thinking', and 'Continuous Learner'. The 'PROCESS ASSOCIATE' role at GENPACT, while not directly technical, emphasizes attention to detail, defect detection, and process improvement, which are valuable for quality assurance and analytical thinking in an operational context. Participation in hackathons and sports also suggests teamwork and leadership abilities.