AkashKumar Jha.

• 01

  Generative AI Development

  RAG applications, LLM integrations, prompt engineering and intelligent AI workflows built with LangChain, the OpenAI API and Hugging Face.

  • #LLMs
  • #LangChain
  • #Prompting
• 02

  Machine Learning

  Predictive modelling with classification, regression and clustering, backed by feature engineering and careful model evaluation.

  • #Scikit-learn
  • #TensorFlow
• 03

  Data Science & Analytics

  Data cleaning and preprocessing, exploratory data analysis, statistical analysis and clear visual storytelling.

  • #Pandas
  • #SQL
  • #PowerBI
• 04

  Natural Language Processing

  Text preprocessing, tokenisation, embeddings, semantic search, multilingual NLP, and speech-to-text / text-to-speech.

  • #Embeddings
  • #Multilingual
• 05

  AI Application Development

  Shipping AI features as real products, combining Python, REST APIs, databases and modern Next.js front ends, deployed on Vercel.

  • #Python
  • #RESTAPIs
  • #Next.js
• 06

  LLM & RAG Engineering

  Document ingestion, chunking, embedding pipelines, vector databases, context retrieval and grounded answers with source citations.

  • #VectorDBs
  • #Retrieval
  • #Citations

  See it in Akarika

• Generative AI & LLMs

  08

  • Large Language Models
  • Retrieval-Augmented Generation
  • LangChain
  • OpenAI API
  • Hugging Face
  • Transformers
  • Prompt Engineering
  • LLM Application Development

• RAG & Information Retrieval

  08

  • Text Embeddings
  • Vector Databases
  • Semantic Search
  • Vector Similarity Search
  • Document Chunking
  • PDF Text Extraction
  • Grounded QA
  • Source Citations

• Machine Learning & NLP

  12

  • Scikit-learn
  • TensorFlow
  • Natural Language Processing
  • Multilingual NLP
  • Tokenization
  • Speech-to-Text
  • Text-to-Speech
  • Classification
  • Regression
  • Clustering
  • Feature Engineering
  • Model Evaluation

• Programming

  05

  • Python
  • SQL
  • JavaScript
  • TypeScript
  • C++

• Data Science

  07

  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Power BI
  • Jupyter Notebook
  • Google Colab

• Web Development & Databases

  05

  • Next.js
  • REST APIs
  • MySQL
  • PostgreSQL
  • MongoDB

• Development Tools

  04

  • Git
  • GitHub
  • Vercel
  • Pygame

Showing 3 projects in All Projects.

• Flagship

  Generative AI / LLM Engineering

  Akarika

  Multilingual RAG Document Assistant

  rag-pdf-nine.vercel.app(opens Akarika in a new tab)

  An end-to-end Retrieval-Augmented Generation app: upload PDFs, ask questions in natural language, and get answers grounded in the document with page-level citations, in 20 languages, by text or voice.

  Pipeline: PDF text extraction → Document chunking → Embedding generation → Vector storage → Semantic similarity search → Grounded answer + citations

  • Python
  • LLMs
  • RAG
  • Embeddings
  • Vector Database
  • Semantic Search
  • Next.js
  • Vercel

  Live Demo Case Study
• 

  Full-Stack Application

  Quick Chat

  Real-Time Messaging Platform

  quickchat.akarikatechnologies.me(opens Quick Chat in a new tab)

  A full-stack real-time messaging app with individual and group chats, typing indicators, read receipts, reactions, voice notes, and voice/video calling, installable as a Progressive Web App.

  • Next.js
  • JavaScript
  • WebSockets
  • PWA

  Live Demo Case Study
• 

  Python Development

  Snake & Ladder

  Player vs Computer Game

  snake-ladder-game-by-akarika.vercel.app(opens Snake & Ladder in a new tab)

  An interactive Snake & Ladder game built with Python, Pygame and object-oriented programming, featuring a custom graphical interface and player-vs-computer gameplay.

  • Python
  • Pygame
  • OOP

  Live Demo Case Study

1. Jul 2025 – Oct 2025

   Internship

   Remote

   Data Science & Analytics Intern

   Zidio Development

   • Cleaned, transformed and preprocessed real-world datasets with Python, Pandas, NumPy and SQL, handling missing values, outliers and inconsistent records.
   • Carried out exploratory data analysis (EDA) and statistical analysis to surface patterns and actionable insights in the data.
   • Engineered features and developed predictive machine learning models with Scikit-learn, evaluating them with standard metrics.
   • Communicated findings through dashboards and visualisations built in Power BI, Matplotlib and Seaborn.

   • Python
   • Pandas
   • NumPy
   • SQL
   • Scikit-learn
   • Power BI
   • Matplotlib
   • Seaborn

1. 2024 – 2027

   Bachelor of Computer Applications (BCA)

   Dr. Babasaheb Bhimrao Ambedkar Bihar University

   Muzaffarpur, Bihar

   Pursuing · 6th Semester
2. 2022 – 2024

   Senior Secondary (Class XII) – CBSE

   Best Model Public School

   Hajipur, Bihar

   87%score
3. 2022

   Secondary (Class X) – CBSE

   Mahua, Hajipur, Bihar

   95%score

• Generative AI

  Tutedude

  Completed

  Aug 2026

  Credential ID

  TD-AKAS-GA-1050

• SQL for Data Analysis

  LinkedIn Learning

  Completed

  Mar 2026

• Basics of Python (CR641)

  Cambridge International, UK