IEEE Xplore · ICAC3N · Feb 2023
A Reliable V2V Communication: An Autonomous Perspective
Analytical problem-solving and systems design applied to autonomous vehicle-to-vehicle communication architectures.
hello, world
Sai Praneeth
Software Engineer — building AI-powered applications
~/sai-praneeth
$ whoami
> Sai Praneeth
$ cat role.txt
> Software Engineer — building AI-powered applications
cat about.md
About
I'm a software engineer with hands-on experience building responsive web applications, REST API backends, and AI-powered platforms using Python, FastAPI, JavaScript, SQL, and Git.
Most recently I built a Generative AI platform at Infosys Springboard — LLM-orchestrated persona simulation with multi-agent architecture and interactive web interfaces — integrating AI systems into scalable full-stack applications.
I care about troubleshooting, testing, and optimizing application performance, and I've collaborated with cross-functional teams in Agile environments to ship production-ready solutions on schedule.
ls ./skills
Skills
languages/
Python
SQL
JavaScript (ES6+)
Java
C/C++
QML
HTML
CSS
Flexbox
Tailwind CSS
backend/
FastAPI
Node.js
REST APIs
Redis
Docker
Inngest
Streamlit
data/
SQL Server (SSMS, T-SQL)
MySQL
PostgreSQL + pgvector
Qdrant
BM25
FastEmbed (ONNX)
ai/
Generative AI
LLM Orchestration
Multi-Agent Architecture
LangGraph
RAG
Persona Simulation
NLP
Groq
tools/
Git
GitHub
Render
Linux
OOP
DSA
Asynchronous JavaScript
Responsive Web Design
Database Design
Debugging & Testing
Agile/Scrum
git log --experience
Experience
Jun 2026 — Aug 2026
AI Engineer Intern
Infosys Springboard
- Designing and developing a Generative AI platform (Synthetic User Generator) — building LLM-orchestrated persona simulation agents with multi-turn memory, Survey and Interview interaction modes, and an Insight Extraction Agent that surfaces themes, sentiment patterns, and behavioral trends from AI-generated responses.
- Integrating AI systems into a full-stack web application: backend API endpoints, interactive frontend dashboard, PDF report generation, and multi-agent workflow coordination — applying software engineering best practices within an Infosys mentorship environment.
Jan 2025 — Jul 2025
Software Engineer Intern
Pythus Info
- Developed Python backend APIs and data workflows; integrated server-side logic with HTML/CSS/JavaScript frontend elements, managed SQL database queries, and used Git for version control — collaborating with senior developers and business teams in Agile sprints.
- Debugged and optimized backend application performance through systematic root-cause analysis; participated in code reviews and sprint deliveries to maintain codebase quality and ensure reliable, production-ready solutions on schedule.
ls ./projects
Projects
2026
GenAI web app that lets product teams generate synthetic user personas via LLM-powered agents and export structured research reports.
- Survey Mode (simultaneous multi-persona responses) and Interview Mode (conversational persona with memory), with PDF export of structured research reports.
- Multi-agent system — Persona Generation Agent, Insight Extraction Agent, Report Generation Module — with consistent persona memory across conversation turns.
React 19FastAPILangGraphGroqPostgreSQL + pgvectorGenerative AIMulti-Agent Architecture
2026
Ask questions over your own files. Hybrid retrieval with citations, a streaming chat UI, and an evaluation harness — serving live production traffic on Render.
- End-to-end frontend-to-backend integration: REST API endpoints consumed by frontend components, SQL schema for structured data storage, and caching for performance optimization.
- Validated with 35 unit and integration tests.
PythonFastAPIQdrantBM25GroqRedisDockerRender
2026
Production-grade Retrieval-Augmented Generation app: upload a PDF, ask questions, and get grounded answers — Streamlit frontend, FastAPI backend on Render, Qdrant Cloud vector search.
- Ingest pipeline with sentence-aware chunking (1000 chars, 200 overlap), local ONNX embeddings via FastEmbed (no embedding API costs), UUID5 chunk deduplication, and a Qdrant connection singleton.
- Inngest workflow orchestration for durable, event-driven ingest and query functions with automatic retries, throttling, and per-source rate limiting; Groq (Llama 3.1) generates answers from top-k retrieved chunks.
PythonFastAPIStreamlitQdrantFastEmbedGroqInngestRender
2026
Omarchy bar widget that lights a work session with one sentence of intention, times it, and writes what moved to a local markdown journal. No account, no network, no extra packages.
- Bar widget holds a flame and elapsed clock; optional 25m/50m/90m or custom time limit turns the bar red when exceeded without interrupting the session.
- On extinguish, prompts "what moved" and appends a timestamped page (intention, planned time, outcome) to a daily markdown journal — QML/JS front end with a stdlib-only Python helper that reads and writes just two local paths.
QMLJavaScriptPythonOmarchy ShellLinux
cat publications.bib
Publications
Journal of Electrical Systems · Dec 2023
Off-Road Terrain Identification and Analysis
Python and deep learning (YOLOv8) for terrain classification — published research demonstrating clean, documented code.
cat education.log
Education
Dec 2025 — Sep 2026 · Online
Vishlesan i-Hub, IIT Patna (Masai School)
Advanced Certification in Artificial Intelligence and Machine Learning
2021 — 2025 · Mohali, India
Chandigarh University
B.E., Computer Science and Engineering (AI & ML)
In association with IBM — CGPA 7.91/10
2019 — 2021
Narayana Jr. College
Intermediate — Telangana State Board of Intermediate Education (TSBIE)
88.6%
2019
Narayana Concept School
Secondary School Certificate (SSC) — Board of Secondary Education
GPA 10/10
./contact --send
Contact
Open to software engineering roles and interesting projects. Send a message here or reach me directly:
praneethpb2003@gmail.com