AKP

ANURAG KUMAR PRAJAPATI

AI Engineer

https://talent.gravityer.com/anurag-kumar-prajapati

AI Engineer with less than a year in Backend Development & Machine Learning

Code Inbound LLP

Key Strengths

Demonstrated ability to design and implement end-to-end AI/ML solutions, including model selection, feature engineering, and deployment (Stock Prediction Platform).
Proficiency in developing AI-powered full-stack applications, integrating advanced AI models (LLaMA 3.3, Groq) with robust backend systems (Fingenius).
Strong understanding of prompt engineering for reliable AI inference and structured data extraction (hybrid OCR, JSON outputs).
Experience with scalable API development (FastAPI, Node.js) and multi-tenant backend architectures (Mongoose).
Proactive learning and engagement in AI/ML through certifications and hackathon participation.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

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.

Top Skills

NosqlReact.jsRestful Apis

Education

Oracle University

Certified Generative Al Professional

N/A – June 30, 2025

Oracle University

1Z0-811 Java Certification

N/A – June 30, 2025

Experience

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

Projects

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.

Certifications

Introduction to Agile Development and Scrum

IBM (Coursera)

March 1, 2026 – Present

YUVA Al for All

TCS ION

February 1, 2026 – Present

Key Strengths

Demonstrated ability to design and implement end-to-end AI/ML solutions, including model selection, feature engineering, and deployment (Stock Prediction Platform).
Proficiency in developing AI-powered full-stack applications, integrating advanced AI models (LLaMA 3.3, Groq) with robust backend systems (Fingenius).
Strong understanding of prompt engineering for reliable AI inference and structured data extraction (hybrid OCR, JSON outputs).
Experience with scalable API development (FastAPI, Node.js) and multi-tenant backend architectures (Mongoose).
Proactive learning and engagement in AI/ML through certifications and hackathon participation.

Cultural & Operational Fit

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.