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Kuppannagari Mahendra Aravind

Full-Stack Developer · Applied AI Systems

I build reliable backend systems and grounded AI products, and ship them to production.

  • B.Tech CCE, LNMIIT Jaipur (2027)
  • India
View my work Resume Email me
Portrait of Kuppannagari Mahendra Aravind
faster database queries

240×

faster database queries

PulseOps · 69.8 ms → 0.29 ms on 2M rows

requests served with a server down

30/30

requests served with a server down

PulseOps · failover test

Recall@12 on held-out questions

1.0

Recall@12 on held-out questions

Project Atlas · MRR 0.75 vs 0.63

per-waypoint test accuracy

92.9%

per-waypoint test accuracy

UAV research · vs 86.5% CNN baseline

LeetCode problems solved

1,000+

LeetCode problems solved

Contest rating 1,850+

ET AI Hackathon 2.0

Finalist

ET AI Hackathon 2.0

With Project Atlas · 2026

About

I build systems that hold up — and measure them.

I'm a final-year Communication & Computer Engineering student at LNMIIT Jaipur. I build Java/Spring Boot and Python/FastAPI services with React/Next.js frontends.

I care about systems that stay correct under load. PulseOps, my multi-tenant monitoring platform, runs an event-driven pipeline on Kafka, Redis and PostgreSQL with race-free incident deduplication. Project Atlas, a grounded-RAG platform on Qdrant and LangGraph, answers only when it can cite evidence, and reached the finals of the Economic Times AI Hackathon 2.0.

Both projects are deployed on AWS through CI/CD pipelines, with automated tests. Outside engineering, I've trained as a Carnatic violinist for over ten years.

Projects

Things I've built and shipped

Each project starts with a one-line explanation anyone can follow, then the engineering detail.

Distributed systemsLive on AWS

PulseOps

Multi-tenant monitoring & incident management platform

Watches servers around the clock, raises one clear alert when something breaks, and closes it once it's fixed.

faster window queries
240×
faster window queries
served in failover test
30/30
served in failover test
automated tests
37
automated tests
JavaSpring BootSpring SecurityApache KafkaPostgreSQLRedisDocker Compose+5
Read case study Live demo Code
PulseOps diagram
Applied AILive on AWS

Project Atlas

AI project intelligence platform (grounded RAG)

Finalist · Economic Times AI Hackathon 2.0

Answers questions about large project documents with the exact page as evidence, and declines when it can't prove the answer.

Recall@12
1.0
Recall@12
MRR (baseline 0.63)
0.75
MRR (baseline 0.63)
fewer input tokens
2.6×
fewer input tokens
FastAPIPostgreSQLSQLAlchemyAlembicQdrantLangGraphNext.js+5
Read case study Live demo Code
Project Atlas diagram
Research · Machine learningIEEE VTC manuscript

UAV ISAC Scheduling

Learning a MILP optimiser with a Conv3D-LSTM network

Teaches a neural network to plan what a drone does at each stop as well as a slow optimisation solver, but in a single fast pass.

per-waypoint accuracy
92.9%
per-waypoint accuracy
joint-mode recall (from 41%)
75%
joint-mode recall (from 41%)
MILP-labelled rows
1M+
MILP-labelled rows
PythonTensorFlowKerasMATLAB (intlinprog)NumPypandasNumba
Read case study Code
UAV ISAC Scheduling diagram

Experience

Where I've worked

  1. Research Intern · Learning-Based ISAC Scheduling for UAVs

    The LNM Institute of Information Technology (LNMIIT) · Jaipur, IndiaLink

    • Extended a faculty-provided MILP (MATLAB intlinprog) into a randomized dataset generator that labels each of 15 UAV waypoints as sensing, communication or joint ISAC; generated 66K+ trajectories (1M+ rows).
    • Designed a 3-branch Conv3D–LSTM classifier in TensorFlow/Keras that imitates the MILP in one forward pass.
    • Reached 92.9% per-waypoint test accuracy on 60,690 unseen trajectories vs. 86.5% for a CNN baseline (joint-mode recall 41% to 75%).
    • Co-authored the manuscript, prepared for submission to the IEEE Vehicular Technology Conference (VTC).

  2. Teaching Assistant · Artificial Intelligence & Machine Learning

    Jan 2026 – May 2026

    LNMIIT · Jaipur, India

    • Mentored 80+ students in weekly AI/ML lab sessions on Python, algorithms and hands-on model implementation.

Skills

Tech stack & fundamentals

Languages

JavaPythonJavaScriptTypeScriptSQL

CS Fundamentals

Data Structures & AlgorithmsOOPOperating SystemsComputer NetworksDBMSSystem Design

Backend

Spring BootSpring SecurityHibernate/JPAFastAPISQLAlchemyREST APIsJWTRBAC

Frontend

ReactNext.jsReact RouterTanStack QueryTailwind CSSHTML/CSS

Data & Messaging

PostgreSQLFlywayRedisApache KafkaQdrant (vector search)Hybrid BM25 + dense retrieval

Deploy & DevOps

AWS EC2Docker & Docker ComposenginxCaddyGitHub Actions (CI/CD)TestcontainersGit

AI / ML

RAGLangGraphGemini & Groq APIsTensorFlow/Keras (CNN, LSTM)scikit-learnpandasMATLAB (MILP)

Education & achievements

Background

Education

  • B.Tech, Communication & Computer Engineering

    The LNM Institute of Information Technology, Jaipur

    Deemed University · 2023 – 2027

    CGPA 7.15/10

  • Class XII

    Resonance Junior College, Hyderabad

    TSBIE · 2023

    89.7%

  • Class X

    Bhavan's Sri Ramakrishna Vidyalaya, Secunderabad

    CBSE · 2021

    88%

Achievements & certifications

  • Finalist, Economic Times AI Hackathon 2.02026

    With Project Atlas.

  • 1,000+ LeetCode problems solved

    Data structures & algorithms; contest rating 1,850+.

  • Claude 101 certification2026

    Anthropic Academy.

  • 96.7 percentile, JEE Main2023

    National engineering entrance exam.

  • Carnatic violinist

    10+ years of formal training; Capriccio music club, LNMIIT.

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Contact

Let's work together

I'm open to software Development Engineer roles in backend, full-stack and applied AI. The fastest way to reach me is email.

mahendraaravind13@gmail.com