プロフィール詳細

プロジェクトを作成

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Akshat D.に依頼

India

AI & Full-Stack Developer | Data Analyst | ERP Systems, RAG Chatbots, FastAPI & Python

プロフィール概要

I am a recent B.Tech Computer Science and Engineering graduate from VIT Vellore with practical experience in AI development, full-stack software engineering, data analytics, and technical research. My work focuses on building scalable digital solutions that combine modern software engineering with artificial intelligence. I have developed and contributed to projects involving Retrieval-Augmented Generation (RAG), AI-powered chatbots, academic ERP systems, financial AI assistants, multilingual e-commerce platforms, and enterprise management systems. Currently, I am developing ASKVIT, an AI-powered academic ERP platform featuring role-based dashboards, workflow automation, and an intelligent chatbot designed to answer academic queries in real time. My technical expertise includes Python, FastAPI, Next.js, React, PostgreSQL, SQLAlchemy, machine learning, OCR systems, cloud technologies, and API development. During my internship at the Centre for Railway Information Systems (CRIS), I worked on web development projects within the Freight Operations Information System (FOIS) division, gaining hands-on experience with frontend and backend technologies. I also completed technical training at the Centre for Chronic Disease Control (CCDC), where I worked with IT infrastructure, networking concepts, system administration, and user support. In addition to software development, I have experience in data analysis, customer segmentation, business intelligence, and visualization using Python, Pandas, NumPy, Power BI, and Excel. I enjoy solving complex technical problems, conducting research-driven analysis, and translating ideas into practical, scalable solutions. I am available for research support, technical consulting, AI implementation, software product development, data analysis, and technology-driven innovation projects.

専門分野

• ☆ Python
• ☆ Matlab
• ☆ SQL
• ☆ Excel
• ☆ Java
• ☆ SAS
• ☆ Tensorflow
• ☆ LaTex
• ☆ R
• ☆ Tableau
• ☆ Scikit-learn
• ☆ Markup Languages
• ☆ Software Development
• ☆ Software QA & Testing
• ☆ Desktop Application Development
• ☆ Web Application Development
• ☆ Cloud Application Development
• ☆ UI/UX Design
• ☆ Gap Analysis
• ☆ UX Design
• ☆ News Writing
• ☆ Course Content Writing
• ☆ ERP/CRM/SCM Implementation
• ☆ Data-Driven Decision Making
• ☆ Customer Service
• ☆ Entrepreneurship
• ☆ Business Intelligence
• ☆ Nonprofit Organization Administration
• ☆ Project Management

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing, Copywriting, Creative Writing, Newswriting, Translation

Research Market Research, Meta-Research, Feasibility Study, Fact Checking, Gap Analysis, Systematic Literature Review

Consulting Business Strategy Consulting, Go-to-Market Strategy Consulting, Scientific and Technical Consulting

Data & AI Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing

Product Development Product Evaluation, Concept Development, Prototyping

職務経験

Full-stack developer

Amitabh Overseas

12月 2025 - 5月 2026

Full Stack Webdeveloper

Craitrix

8月 2024 - 12月 2025

System Support Intern

Centers for Disease and Control (CDC)

6月 2025 - 7月 2025

Volunteer

MILESTONE NGO

5月 2025 - 6月 2025

Research Editorial Intern

The INCLEN Trust International

12月 2024 - 6月 2025

Web Development Intern

Centre for Railway Information Systems (CRIS)

6月 2024 - 7月 2024

学歴

B.Tech, Computer Science and Engineering

Vellore Institute of Technology (VIT)

7月 2022 - 7月 2026

認定資格

• JPMorgan Chase Investment Banking Job Simulation

  Forage

  1月 2026 - 現在

• Product Management

  LinkedIn Learning

  10月 2025 - 現在

• Power BI Advanced Certified Workshop

  Skill Nation

  5月 2025 - 現在

• Getting Started With Power BI

  LinkedIn Learning

  7月 2024 - 現在

• Business Development Foundations: Researching Market and Customer Needs

  LinkedIn Learning

  7月 2024 - 現在

• Root Cause Analysis: Getting to the Root of Business Problems

  LinkedIn Learning

  1月 2023 - 現在