AI Engineer with less than a year in Backend Development & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full-stack developer with experience in React, Next.js, and backend systems, specializing in building AI-driven and data-intensive applications. Proven ability to quickly adapt to new technologies and deliver production-ready solutions through hands-on projects. Skilled in designing scalable architectures, integrating machine learning models, and developing user-focused platforms. Passionate about solving real-world problems using modern technologies and continuously improving system performance and impact.
Oracle University
Certified Generative Al Professional
N/A – June 30, 2025
Oracle University
1Z0-811 Java Certification
N/A – June 30, 2025
Code Inbound LLP
SDE - Backend Developer Intern
December 1, 2025 – Present
India
1 Million 1 Billion (1M1B)
AI + Sustainability Virtual Intern
December 1, 2025 – January 1, 2026
India
Stock Prediction Platform
May 19, 2026 – Present
Designed a scalable ML-driven stock prediction platform processing real-time data and supporting multiple forecasting models. Implemented ARIMA, KNN, and SVM models on historical stock data to forecast short-term and long-term price trends. Performed feature engineering (trend, day-of-week, temporal patterns) to improve model accuracy and prediction stability. Designed and developed scalable REST APIs using FastAPI for efficient data processing and model execution. Built interactive dashboards with dynamic charts to visualize stock performance, predictions, and key metrics. Evaluated model performance using MSE, RMSE, and R2 Score to compare prediction accuracy across algorithms.
Fingenius
May 19, 2026 – Present
Built a full-stack AI-powered financial platform automating wealth management, tax optimization, and investment planning for users. Built a Joint Wealth Optimizer LLaMA 3.3, Groq to automate HRA, NPS, and SIP-based tax optimization. Architected a hybrid OCR pipeline to extract structured financial data from receipts and documents. Designed interactive financial dashboards with Recharts to track XIRR performance, portfolio growth, and FIRE-based projections. Implemented real-time AI inference using Groq APIs with structured prompt engineering for reliable JSON-based outputs. Built a secure multi-tenant backend with mongoose, handling complex data relationships for shared household accounts.
Introduction to Agile Development and Scrum
IBM (Coursera)
March 1, 2026 – Present
YUVA Al for All
TCS ION
February 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong cultural fit for an AI-driven organization, evidenced by a portfolio heavily focused on AI/ML applications and a continuous learning mindset (certifications, hackathons). Their project diversity and full-stack capabilities suggest an adaptable and versatile team player.
Soft Skills & Operational Fit
Demonstrates strong problem-solving skills through complex project implementations. Exhibits collaborative capabilities from internship experience and hackathon participation. Proactive in learning new technologies and adapting to new challenges, as evidenced by diverse project tech stacks and certifications.