Hello!

This is Aditya Kumar Tiwari



An Aspiring AI Engineer

LinkedIn GitHub

Name: Aditya Kumar Tiwari

Currently Pursuing: Master's in AI & ML

Institute: Indian Institute of Information Technology

Address: Lucknow, India

Skills

PYTHON 90%
Databases 85%
Natural Language Processing (NLP) 80%
Large Language Models (LLMs) 90%
Machine Learning 90%

About

About Me

My name is Aditya Kumar Tiwari, I'm currently pursuing MSc. in Artificial Intelligence and Machine Learning from Indian Institute of Information Technology, Lucknow. I hold a BSc. in Information Technology from DAV College, Kanpur. With a solid foundation in Statistics and Mathematics, I specialize in developing scalable machine learning models using Python, SQL and various ML frameworks. Passionate about contributing to innovative AI solutions, I am driven by a keen interest in data science and the exploration of advanced AI models.

  • Profile: ML Engineer, Data Science & AI Engineer
  • Domain: AI & ML, Data Science & Statistics
  • Education: Master of Science
  • Language: English, Hindi
  • Programming Skills: C, C++, Python, SQL & LaTeX
  • Tools & Frameworks: VS Code, MongoDB, PostgreSQL, Git, GitHub, LangChain & RAG
  • Interest: Traveling, Exploring, Badminton, Music

0 +   Projects completed

Kaggle

Resume

Resume

An aspiring AI professional pursuing MSc in Artificial Intelligence and Machine Learning, with a strong background in Statistics and Mathematics. Experienced in building scalable machine learning models and data-driven solutions using Python, SQL and various ML frameworks. Seeking to leverage expertise in an AI-focused role or internship, passionate about data science and exploring advanced models such as Llama, OpenAI, Anthropic and Groq.

Experience


July 2024 - September 2024

AI Intern

Proplens AI

Proplens AI, a company dedicated for making Real Estate projects easy to explore.

  • RAG Implementation: Enhanced Retrieval-Augmented Generation, reducing response time by 1-1.5 seconds.
  • AI Model Utilization: Leveraged Claude 3.5 Sonnet, GPT-4o, and LLaMA 3.1 for JSON generation tasks.
  • Automated Testing: Developed scripts using Selenium for efficient quality assurance.

April 2024 - July 2024

Generative AI Intern

Logistican AI

Logistican AI, a company dedicated for making the real world services using AI.

  • LLM Fine-tuning: Engineered JSONL datasets to enhance large language model performance
  • AI-Powered Data Extraction: Integrated OCR and LLaMA 3 to automate image-to-JSON conversion
  • Automated Dataset Generation: Developed efficient tool for processing 1500+ page PDFs into structured datasets.



Education


2023-Present

Master of Science

(AI & ML)

Institute of Information Technology, Lucknow

SGPI (1st sem): 8.91

2020-2023

Bachelor of Science

(Information Technology, Mathematics and Physics)

DAV College, Kanpur

CGPA: 6.5

View Resume

Projects

Projects

Below projects showcase a diverse range of AI and data-driven applications. Each project demonstrates proficiency in various technologies such as FastAPI, React, Streamlit, PyPDF2, Llama3, and API integrations, highlighting skills in AI implementation, data processing, and web application development. 🌟

Real Estate Insights

AI-powered tool for competitive real estate project analysis and environmental assessment. Integrates multiple APIs for data extraction, performs multi-factor analysis, generates AI-powered comprehensive reports.

FlexiBot

Customizable chatbot with realistic typing effect, context retention, multiple language models, and image analysis. Achieved 200 ms response time, 92% accuracy, handled up to 500 requests/min.

DocBot

Web app for document interaction using PyPDF2, Tesseract OCR, and Llama3 for query responses. Implimented RAG, 1-3 second response time, 20-30 requests/min, processes up to 100-page PDFs.

Melodify

AI-powered web app converting text prompts into personalized songs using GPT-3.5 Turbo and Bark Model. Generates lyrics within 30-word limit, creates audio using advanced text-to-speech model, handles real-time user interactions.

SmashCast

AI-powered tool for predicting suitable time slots for playing badminton based on weather forecasts. Integrates OpenWeatherMap API for weather data extraction, performs multi-factor analysis, classify the playbility using Naive-Bayes classifier.


More projects on Github

I thrive on unraveling AI and data science complexities, delving into LLM and GAN advancements to unearth profound data narratives.


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Lucknow, India

Contact Number

+91-7499611472

Email Address

adityak8340@gmail.com

Download Resume

resumelink




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