Hello, I'm

Aishwarya Sharma

Computer Science & Engineering Student

Final-year Computer Science student passionate about AI, Data Science, Software Engineering, Distributed Systems, Big Data, and System Design. I enjoy building practical applications while continuously learning new technologies.

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About

Curious by default. Builder by choice.

I like understanding how things work — and then figuring out how to make them work better.

I’m Aishwarya, a Computer Science & Engineering student who enjoys turning ideas, messy problems and too many browser tabs into things that actually work. My interests sit at the intersection of software engineering, AI, data and distributed systems, but what really keeps me hooked is the process of building something from scratch and seeing it come alive.

I’m naturally curious and slightly obsessed with asking “but why?” — whether I’m designing a system, debugging code, exploring a new technology or working on a project that doesn’t have a straightforward answer.

This website is my walking resume — a little more human than a PDF, and hopefully a little more interesting too. Explore around to see what I’ve built, what I’ve learned, and where I’m headed next.

Education

B.Tech in Computer Science & Engineering

What Drives Me

Curiosity, problem-solving & building things from scratch

Areas I Explore

AI • Software Engineering • Data • Distributed Systems

Skills

Technologies & Expertise

Building software across artificial intelligence, data engineering, distributed systems, and modern software development.

Languages

PythonJavaSQLC

Frameworks & Libraries

PandasNumPyScikit-learnTensorFlowPyTorchApache SparkHadoopKafkaStreamlit

Tools & Platforms

GitGitHubDockerMySQL

Core Concepts

Data Structures & AlgorithmsObject-Oriented ProgrammingDBMSOperating SystemsComputer NetworksSystem DesignDistributed SystemsMachine LearningBig Data

Journey

The syllabus never covered this part.

College taught me the fundamentals. Projects taught me to apply them. Hackathons taught me to move fast. Working with people taught me that solving the problem is only half the job.

These are the experiences that have shaped the person — and engineer — I’m becoming.

Education

8.84 CGPA

B.Tech in Computer Science & Engineering

PES University, Bengaluru

2023 – 2027

93.8%

Senior Secondary (CBSE)

Mayoor School, Ajmer

2023

96.6%

Secondary (CBSE)

Mayoor School, Ajmer

2021

Leadership

Operations Team Member

ACM, PES University

2024 – Present

Organized two 18-hour hackathons.
Managed end-to-end operations for over 250 participants.

CCA Captain

Mayoor School, Ajmer

2022 – 2023

Led planning and execution of 10+ inter-school and intra-school events.
Coordinated activities involving more than 200 participants.

Student Editor

Editorial Board, Mayoor School

2021 – 2023

Led a 10-member editorial team.
Published eight editions of the school magazine.

Projects

Building products that solve real problems.

A selection of projects spanning AI, distributed systems, developer tools and data engineering, with an emphasis on practical impact and thoughtful design.

2026AI • RAGCompleted

Multi-Agent RAG-Based Research Assistant with Source Verification

A multi-agent research assistant that combines planning, retrieval, verification, summarization and report generation using a Retrieval-Augmented Generation (RAG) pipeline.

• Built a LangGraph-based multi-agent workflow for research queries.
• Implemented a RAG pipeline supporting PDF, DOCX and TXT documents.
• Developed source verification with confidence scoring and citation-backed reports.

PythonLangGraphChromaDBSentenceTransformersSQLiteOllamaDocker

GitHub

2026CapstoneIn Progress

Behavioral Analytics for Adaptive Financial Decision Making

An AI-powered robo-advisor that combines investor profiling, financial forecasting, portfolio allocation and explainable recommendations for personalized investment guidance.

• Investor risk assessment using structured questionnaires.
• Forecasting expected asset returns for portfolio recommendations.
• Explainable chatbot with sentiment and panic detection.

PythonMachine LearningNLPStreamlitSQLiteLLM

2026SystemsCompleted

AI-Powered Windows System Diagnostics Platform

Local AI diagnostic platform that continuously monitors Windows system health and provides explainable troubleshooting using RAG.

• Continuous monitoring of CPU, memory, disk and security metrics.
• Historical trend analysis and bottleneck detection.
• Evidence-backed diagnostic assistant using local LLMs.

PythonSQLiteChromaDBOllamaPlotlypsutil

Other Projects

2026

Placement Mail Tracker

AI assistant that automatically extracts, merges and organizes placement opportunities from Gmail into a structured dashboard.

PythonStreamlitSQLiteOllama

2025

AI Data Copilot for Automated Data Cleaning & Analysis

AI-powered assistant for cleaning datasets, performing statistical analysis and generating explainable insights.

PythonPandasNumPyScikit-learn

2025

Dynamic Content Streaming Pipeline

Distributed Kafka-based streaming platform with admin-controlled topic governance and real-time messaging.

Apache KafkaPythonFlaskSQLite

GitHub

Open source & development activity.

A snapshot of my development activity and selected repositories.

Repositories

Total Stars

Languages

aishwarya-portfolio

Latest Activity

Featured Repositories

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aishwarya-portfolio

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TypeScript0

sourcelens-ai

SourceLens AI is a local-first multi-agent research assistant built with LangGraph, Ollama, Wikipedia, and OpenAlex. It generates structured research reports by planning queries, retrieving evidence from trusted sources, summarizing findings, and producing citation-backed markdown reports using a modular agent-based architecture.

Python0