Ashutosh Raj
AI & Full-Stack Developer | Data Analytics | Machine Learning
Computer Science Engineering student building AI-powered, data-driven and production-oriented applications with Python, FastAPI, React, Next.js and modern data technologies.

B.Tech CSE (2027)
Bihar Engineering University
AI / ML & Data Analytics
Full-Stack Web Systems
Python • FastAPI • React
Next.js • PostgreSQL • SQL
Open to Opportunities
Internship & Entry-Level
About Ashutosh Raj
Software Engineer & AI Developer based in Bihar, India
I architect production-oriented AI systems, developer tooling, and quantitative data analytics platforms. My engineering work centers on developing scalable asynchronous backend services with Python and FastAPI, training machine learning and NLP classification pipelines with Scikit-Learn, and designing responsive, accessible web interfaces using React, Next.js, and TypeScript.
Currently targeting software engineering, AI/ML, and data analytics internship or entry-level opportunities where I can apply rigorous database schema design (PostgreSQL/SQLAlchemy), automated webhook review engines, and multi-factor analytical scoring to build reliable software solutions.
Education
B.Tech CSE (2027)
Specialization
AI / ML & Full Stack
Featured Projects
5 Production Apps
Certifications
8+ Industry Verified
Quick Candidate Profile
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Featured Software Systems
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Industry Certifications
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Verified Technologies
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GitHub Repositories
Why Hire Ashutosh?
Four core engineering strengths grounded directly in completed software projects, data pipelines, and technical coursework.
1. Builds End-to-End Applications
Architects complete software solutions independently—from relational database modeling and API services to responsive user interfaces and webhook event automation.
2. Strong Python + Data Foundation
Applies rigorous data transformations, multi-factor scoring engines, and quantitative calculations using Python, Pandas, NumPy, and relational SQL.
3. Full-Stack Implementation Experience
Builds modular, type-safe web applications using Next.js App Router, React 19, FastAPI, PostgreSQL, and Tailwind CSS with clean code principles.
4. AI/ML & Developer Tooling Focus
Integrates practical machine learning models into real workflows—including Scikit-Learn NLP text categorization, local Whisper audio transcription, and automated PR review scoring.
Academic Journey
Education
Bachelor of Technology (B.Tech)
Computer Science & Engineering
Bihar Engineering University, Patna
Expected Graduation : 2027
Journey
Experience
AI & Data Analytics Learner
Microsoft Learn
2026 - Present
Learning Artificial Intelligence, Machine Learning, Data Analytics, Azure AI and modern cloud technologies through Microsoft learning programs.
Technology Job Simulations
Deloitte • Tata Group
2026
Completed virtual job simulations focused on software engineering, business analytics, problem solving and real-world projects.
Full Stack Developer
Personal Projects • Full-Stack & AI Projects
2026 - Present
Building full-stack, AI-powered and data-driven applications using Python, FastAPI, React, Next.js, PostgreSQL, SQLAlchemy, machine learning and modern web technologies.
Technical Skills & Expertise
A scannable inventory of verified languages, frameworks, databases, and developer tooling used across my software engineering and data analytics projects.
Programming
Backend APIs, ML models, data analysis, and automation
ES6+, interactive interfaces, and asynchronous workflows
Type-safe Next.js & React architecture
Object-oriented design and data structures
Relational queries, aggregations, and schema modeling
AI / ML
Supervised models, Scikit-Learn pipelines, and feature engineering
TF-IDF text classification, Whisper voice transcription, and tokenization
Structured contextual prompts, system instructions, and few-shot formatting
End-to-end ML integration with FastAPI and interactive frontends
Intent classification, stateful context management, and knowledge retrieval
Data Analytics
Dataframes, cleaning, time-series, and aggregation
Array operations, vectorization, and mathematical modeling
Exploratory charts, distribution plots, and trends
Interactive financial charts and multi-metric visualizers
Exploratory data analysis, KPI calculation, and insight generation
Full Stack
Reusable component systems, hooks, and client state
App Router, SSR, dynamic routing, and build optimization
Asynchronous Python REST APIs, Pydantic validation, and dependency injection
Rapid data application prototyping and multi-page dashboards
Semantic markup and web accessibility
Modern responsive utility styling and design systems
Databases
Relational data persistence, indexing, and ACID transactions
Embedded database management and local analytics querying
Python ORM data models, relationships, and queries
Entity-relationship design, foreign keys, and normalization
Tools / Platforms
Version control, branching strategies, and collaboration
Repository management, pull requests, and webhooks
Production Next.js deployments and edge routing
Containerization and multi-container Compose environments
CI/CD automated testing and linting pipelines
Primary IDE with language servers and debugging tools
Interactive notebook exploration and data science experiments
Currently Learning
Multi-agent workflows, autonomous tool calling, and RAG retrieval pipelines.
Neural network architectures with PyTorch for vision and sequence modeling.
Scalable data ingestion pipelines, cloud warehouses, and streaming analytics.
What I Build
Four core software engineering domains I architect and deploy from concept to production.
AI Applications
Intelligent decision-support platforms, NLP classification pipelines, local speech-to-text, and contextual AI assistants.
Data Analytics
Quantitative analytics engines, benchmark screening platforms, and multi-factor scoring systems using Pandas and Plotly.
Full-Stack Applications
Responsive, high-performance web applications built with Next.js App Router, React 19, FastAPI, and PostgreSQL.
Developer / Automation Tools
Webhook-driven platforms, automated pull request review engines, multi-file diff parsers, and CI/CD pipelines.
Featured Engineering Projects
Real software systems, developer tooling, and quantitative data platforms built with Python, FastAPI, React 19, and Next.js. Click "View Architecture Case Study" for deep-dive diagrams and technical findings.

DevFlow — AI-Powered Developer Collaboration & Code Review Platform
Validated against real GitHub Pull Requests, parsing multi-file diffs to detect security and maintainability issues, calculating a 0–100 quality score, and posting inline review comments automatically.

DPI Governance AI
Transforms unstructured public grievances into structured governance intelligence by combining NLP text categorization, local voice transcription, geographic hotspot clustering, and multi-factor priority ranking.

N100 Financial Intelligence Platform
Automates fundamental financial ratio calculations across Nifty 100 companies, replacing manual multi-website lookup with instant health scoring, sector benchmarking, and interactive Plotly financial charts.

Bluestock MF Capstone
Streamlines mutual fund analysis by automating historical NAV time-series cleaning and calculating annualized CAGR metrics, eliminating manual spreadsheet calculations for individual investors.

Personal Portfolio Website
Enables recruiters and hiring managers to quickly assess technical skills, explore interactive system architecture case studies, download verified resumes, and engage with a custom AI chatbot assistant.
Proof of Work
Verifiable open-source contributions, repositories, and development activity tracked directly on GitHub.
AI-powered PR code review platform with FastAPI, React, PostgreSQL & GitHub Webhooks.
Digital public infrastructure decision support platform with NLP, Whisper & GIS hotspot analysis.
Financial analytics platform calculating fundamental ratios and health scores across Nifty 100 companies.
Resume
Comprehensive curriculum vitae detailing software engineering projects, data analytics pipelines, and technical education.
Ashutosh Raj — Curriculum Vitae
Updated for 2026 • PDF Format
Includes verified project architectures (DevFlow, DPI Governance AI, N100), technical coursework, and industry certifications.
Verified Accomplishments
Professional Certifications
Industry & academic certifications in Artificial Intelligence, Machine Learning, Data Analytics, Cloud Computing, and Software Engineering.

Oracle University
Oracle Agentic AI Certified Foundations Associate
Recognized by Oracle Corporation as Oracle Certified — Agentic AI Certified Foundations Associate. Issued on July 06, 2026.

Microsoft
Microsoft AI / Data Certification
Completed Microsoft AI and Data certification covering AI fundamentals, data analytics, and cloud technologies.

TCS iON (Tata Consultancy Services)
TCS iON Career Edge — AI Foundation
Certificate of Achievement for successfully completing TCS iON Career Edge — AI Foundation course, covering Generative AI, Prompt Engineering, and Responsible AI.

Bluestock Fintech
Bluestock Fintech — Data Analyst Internship
Certificate of Internship awarded for successfully completing the role of Data Analyst Intern at Bluestock Fintech from May 2026 to July 2026.

Deloitte
Deloitte Technology Job Simulation
Completed Deloitte Technology Virtual Job Simulation with real-world enterprise software tasks and practices.

Tata Group
Tata Data Analytics Job Simulation
Completed virtual job simulation covering data cleaning, business visualization, and strategic data insights.

NPTEL / IIT Kanpur
Cloud Computing and Distributed Systems — Elite
NPTEL Online Certification (Elite) for completing Cloud Computing and Distributed Systems with a consolidated score of 73% (IIT Kanpur).

NPTEL / IIT Kharagpur
Introduction to Internet of Things — Elite
NPTEL Online Certification (Elite) for completing Introduction to Internet of Things with a score of 80% (IIT Kharagpur).

NxtWave
NxtWave NCAT AI Certification
Successfully completed AI aptitude and technical assessment demonstrating algorithmic problem-solving skills.

CampusCrew × Unstop
QuizOff 2026 — India's Biggest AI Quiz
Certificate of participation in QuizOff 2026: India's Biggest AI Quiz, competing among 5,25,000+ students globally.

Unstop / Samsung
Samsung Galaxy AI Treasure Hunt 2026
Certificate of Participation in the Samsung Galaxy AI Treasure Hunt 2026 organized via Unstop.
Let's Build Something Meaningful
Open to internship, entry-level software engineering, AI/ML and data-focused opportunities.