Akshit Maheshwari

|

an AI/ML developer who likes practical systems, polished interfaces, and work that feels clean, useful, and intentional.

Enthusiast • Builder • Research-minded

Akshit Maheshwari

About me

A motivated undergraduate in IT and Data Science with hands-on experience in AI/ML projects. I focus on making systems measurable and solvable, not just functional - from data preparation and embedding pipelines to ranking logic and retrieval evaluation.

Academic foundation.

Academic track

University School of Information, Communication and Technology

Delhi, India • B.Tech - Information and Technology

September 2023 - August 2027

Academic track

IIT Madras

Remote • B.Sc. - Data Science and its Applications

September 2023 - July 2027

Tools and technologies I use.

0tools across0categories — built around practical AI/ML workflows

✦ Daily drivers

Python

Python

Primary language

PyTorch

PyTorch

Deep learning

LangChain

LangChain

LLM orchestration

Docker

Docker

Containerization

C
C++
Python
JavaScript
SQL
Pandas
NumPy
Matplotlib
Seaborn
Imbalanced-learn
Scikit-learn
TensorFlow
OpenCV
PyTorch
Hugging Face
Transformers
GANs
Flask
FastAPI
LangChain
LangGraph
React
MySQL
PostgreSQL
MongoDB
Vector Stores
Neo4j
MLflow
Docker
Dagshub
Git
Jupyter Notebooks
AWS S3
AWS ECR
C
C++
Python
JavaScript
SQL
Pandas
NumPy
Matplotlib
Seaborn
Imbalanced-learn
Scikit-learn
TensorFlow
OpenCV
PyTorch
Hugging Face
Transformers
GANs
Flask
FastAPI
LangChain
LangGraph
React
MySQL
PostgreSQL
MongoDB
Vector Stores
Neo4j
MLflow
Docker
Dagshub
Git
Jupyter Notebooks
AWS S3
AWS ECR

Languages

5
CC++PythonJavaScriptSQL

ML / DL

12
PandasNumPyMatplotlibSeabornImbalanced-learn

Frameworks

5
FlaskFastAPILangChainLangGraphReact

Databases

5
MySQLPostgreSQLMongoDBVector StoresNeo4j

Tools

5
MLflowDockerDagshubGitJupyter Notebooks

Cloud

2
AWS S3AWS ECR

Practical work and leadership.

LE

Experience track

AI Engineer Intern

Learnline Edustation

July 2026 - Present
Active
  • Built an OCR pipeline and extracted 50,000+ questions from previous year papers, textbooks, and other learning modules
  • Delivered core product modules including Agentic-RAGs with average latency of 2.3s
  • Collaborated with team members to develop an automated knowledge graph for tracking student performance and progress
GG

Experience track

AI Engineer

GirlScript Summer of Code (GSSoC)

May 2026 - August 2026
  • Engineered and optimized machine learning and deep learning models across 2 open-source projects
  • Reviewed and merged 50+ pull requests while mentoring 20+ contributors to maintain code quality
  • Collaborated across AI/ML developer teams to improve model efficiency and accuracy
US

Experience track

ML Research Intern

Under Prof. Ruchi Sherawat

June 2025 - August 2025
  • Built a Dental RGB image classification model focused on gender and age classification from RGB dental images
  • Started from data preprocessing and masking to model training, evaluation, and comparison, achieving 94.3 precision-score for gender classification and 2.43 MAE for age prediction
  • Identified key insights into dental-based demographic prediction across different pre-trained models
GU

Experience track

AI / ML Team Lead

Google Developer Students Club, USICT

October 2024 - Present
Active
  • Lead the AI/ML vertical for GDSC USICT — coordinating project direction, mentorship, and hands-on experimentation for the student developer community
  • Shaped practical curriculum around real ML workflows: data pipelines, embedding systems, retrieval, and model evaluation
  • Drove cross-team exploration of LLMs, retrieval-augmented generation, and agentic AI architectures

Build Projects and Demos

Screenshot of the TaxAI India website

TaxAI India

A hybrid tax assistant for Indian freelancers, students, creators, and small businesses that combines AI reasoning with deterministic tax logic, document extraction, and compliance insights.

  • AI copilot for tax planning and compliance guidance
  • OCR-based financial document extraction and structured analysis
  • Old vs new regime comparison with optimization insights
FastAPIReactMongoDBLangChainOCR
GitHub ↗Live demo ↗
Screenshot of the CallBased Product Retrieval Agent website

CallBased Product Retrieval Agent

An AI-powered calling agent that helps customers find products through natural phone conversations. Built with Twilio, ElevenLabs, Groq LLM, and ChromaDB with semantic search plus metadata filters.

  • Voice conversation flow for product discovery
  • Semantic retrieval with budget, brand, and category filters
  • User preference memory for better follow-up turns
TwilioElevenLabsGroqChromaDBRetrieval
GitHub ↗Live demo ↗
View All Projects→

Get in Touch

Want to chat? Feel free to reach out to me via email or on social media.

◉GitHubinLinkedIn✉Email⌘LeetCode