EngineeringIntelligence.BuildingAIthatWorksforPeople.

AI Engineer · Generative AI · Voice AI · RAG Systems · Automation

View Projects Download Resume Contact Me

Scroll

Who I Am

Curious by nature, an engineer by craft.

I'm a third-year B.Tech student in Artificial Intelligence & Data Science, and — at the same time — a practicing AI Engineer building systems that ship to real users.

I don't build projects to collect technologies. I build intelligent systems that remove repetitive work, sharpen decisions, and make complex technology feel like a single click.

Right now that means designing AI agent workflows and Retrieval-Augmented Generation pipelines for financial automation, and building conversational voicebots that hold a real conversation — as an AI Engineer Intern at AskGalore.

Mission

My mission is simple: the best AI is invisible. It should disappear into the workflow and give people their time back.

Skills Ecosystem

A living map of the tools I think with.

Generative AI

LangChainLangGraphRAG (Naive, Advanced, Agentic)AI AgentsLLMsPrompt EngineeringAgentic AIVoice AI (STT/TTS)

AI & Machine Learning

Machine LearningDeep LearningNLPFeature Engineering

Data

Data ScienceData AnalysisData VisualizationSQL

Backend

PythonC++CFastAPIFlaskREST APIsPostgreSQLMySQLMongoDB

Dev Tools

DockerGitGitHubLinuxGitHub Actions

Tools of the Trade

Python

C++

LangChain

FastAPI

Flask

PostgreSQL

MongoDB

MySQL

Docker

Git

Linux

GitHub Actions

Python

C++

LangChain

FastAPI

Flask

PostgreSQL

MongoDB

MySQL

Docker

Git

Linux

GitHub Actions

Experience

Where the work happens.

AI Engineer Intern

Current

AskGalore

Mar 2026 — Present

Design and deploy AI agent workflows for financial automation, enabling end-to-end processing of financial tasks with minimal human intervention.
Build and maintain multiple RAG systems — Naive, Advanced, and Agentic — powering intelligent document Q&A and knowledge retrieval across client use-cases.
Develop and optimize conversational voicebots integrating STT, TTS, and intent classification for real-time, natural-language banking and financial support.
Collaborate with cross-functional teams to scope requirements, prototype MVPs, and iterate on AI-powered solutions within tight delivery timelines.

Volunteer, Training & Placement Department

Current

Sagar Institute of Science and Technology (SISTec)

Oct 2024 — Present

Served as a point of contact, clearly conveying placement drive schedules and process updates to students and visiting corporate recruiters.
Coordinated the setup and logistics of placement venues — pre-placement talk halls, computer labs, and interview rooms — for recruitment activities.
Contributed to planning and executing recruitment drives: student registration, documentation, and on-site coordination.

Selected Work

Systems I've shipped, end to end.

Adapt It

Daily Aptitude Quiz Agent

Full-Stack Developer & AI Integration Lead

An end-to-end automated quiz platform that orchestrates daily aptitude assessments without manual intervention — from question sourcing to grading to delivery.

Multi-agent Flask + PostgreSQL backend
AI-powered question curation from live sources via NVIDIA NIM + BeautifulSoup4
Server-side anti-cheat: tab-switch detection, copy-paste blocking, blur-event logging
Personalized email dispatch via Resend, real-time scoring, results synced to Google Sheets
Entire delivery lifecycle orchestrated on GitHub Actions cron scheduling

FlaskPostgreSQLNVIDIA NIMBeautifulSoup4ResendGitHub Actions

Exam Buddy

Smart Topic Extraction & PYQ Analysis System

Project Leader & Backend Architect

An AI-powered platform that automates exam preparation — turning unstructured previous-year question PDFs into structured insight.

Core infrastructure built on FastAPI + PostgreSQL
NLP pipelines with Groq + Sentence Transformers
Semantic question clustering and "Hot Topic" extraction
Dynamic practice-paper generation from unstructured PDF data

FastAPIPostgreSQLGroqSentence Transformers

FloatChat

Scientific Data Assistant

Data Engineer & Cloud Developer

An intelligent assistant for oceanographic research, built on the Argo ocean dataset — making scientific data explorable through conversation.

Database design and data organization for the Argo ocean dataset
Data visualization pipelines for research exploration
Cloud deployment and hosting with scalable storage
Seamless integration between backend, data layer, and AI modules

LangChainRAGSQLCloud HostingData Visualization

Fincove

Voice Banking Assistant (MVP)

AI Developer & Voice Interaction Architect — built in collaboration with IBOTIX Technologies

An MVP voicebot for banking support capable of handling real-time, natural-language conversations for financial queries.

Real-time conversational flow with contextual dialogue
STT via WebKit SpeechRecognition, TTS via Edge TTS
Intent classification for accurate routing of banking queries
Connected to a FastAPI backend for smooth, natural interactions

FastAPIEdge TTSWebKit SpeechRecognitionIntent Classification

Education

The foundation.

B.Tech, Computer Science Engineering (AI & Data Science)

Expected 06/2027

Sagar Institute of Science and Technology (SISTec), Bhopal

CGPA 7.89

Intermediate Certificate in Science

04/2023

St Paul's Co-Ed School, Bhopal

73.40%

Secondary School Certificate in Science

04/2021

St Paul's Co-Ed School, Bhopal

84.00%

Beyond the Code

How I show up.

Production AI at AskGalore

Shipping AI agent workflows, RAG pipelines, and voice systems into live financial and banking use-cases — not just prototypes.

Cross-company collaboration

Built Fincove's voice interaction architecture in direct collaboration with IBOTIX Technologies.

Campus placement operations

Trusted as a point of contact between students and corporate recruiters, coordinating end-to-end logistics for recruitment drives at SISTec.

Self-directed builder

Adapt It, Exam Buddy, and FloatChat were conceived, architected, and shipped outside of coursework — driven by curiosity, not a syllabus.

Why I Build AI

Technology should reduce friction, not add to it.

AI should empower people

Not replace judgement — extend it. Every agent I build is meant to hand a decision-maker better information faster, not make the decision disappear into a black box.

Automation buys back time

The measure of a good automation isn't how clever it is — it's how much thinking time it returns to the person who used to do it by hand.

The best AI is invisible

If a user has to think about the AI, it's not finished yet. Great systems disappear into the workflow and just feel like the product working.

Just for fun

Ask the terminal about me.

rishabh@ai-portfolio — zsh

rishabh@ai-portfolio:~$ type 'help' to begin

Let's Build Something

Have a problem worth
automating?

I'm always up for talking about AI agents, RAG systems, or voice AI — reach out and let's see what we can build.

Say Hello Resume