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CSE graduate · AI/ML & backend

I build AI/ML systems and the backends behind them.

I graduated in Computer Science from Amrita Vishwa Vidyapeetham in June 2026. I have built six systems end to end, quantized the models so they run on modest hardware, and written four of them up as papers accepted at IEEE conferences.

Currently exploring: AI Agents.

systems built end to end
0systems built end to end
papers accepted at IEEE
0papers accepted at IEEE
CGPA / 10.0
0.00CGPA / 10.0
of 80 teams · Tredence Hackathon
Top 0of 80 teams · Tredence Hackathon

Who I am

About

I am a Computer Science graduate from Amrita Vishwa Vidyapeetham, Amritapuri, who likes building AI systems that actually ship. My work sits at the intersection of machine learning and backend engineering - from screening chest CT scans on edge devices, to ranking resumes with LLMs, to a tutoring system that notices how a learner feels.

I care about systems that run on modest hardware, that explain themselves, and that are honest about what they can do. Each of my major projects was built end to end - model, backend, interface - and four were written up as papers accepted at IEEE conferences.

Away from code, I design posters for clients and enjoy cricket, Formula 1, and films that make you think.

Quick facts

Based in
Vijayawada, Andhra Pradesh
Open to
Relocation · software roles
Languages
Telugu · English · Hindi
Scholarship
NMMS - National Means-cum-Merit
Telugu - nativeEnglish - proficientHindi - basics

Selected work

Six systems, built end to end.

Model, backend and interface - each one shipped, measured and written up.

Medical AIIEEE GCON-26 · accepted

2025 - 2026 · Project Lead

HealthATM

Lung nodule screening on edge devices

A screening system for chest CT scans that assists early lung nodule assessment in resource-constrained healthcare settings - built to run offline on edge hardware.

sensitivity
91.4%sensitivity
Dice score
0.84Dice score
ROC-AUC
0.91ROC-AUC
per CT study
22.5sper CT study
PythonPyTorchTensorFlowMobileUNetHalf-UNet+8
Read the case study
RecruitingIEEE ICCNT 2026 · accepted

Mar 2025 - Jul 2025 · Project Lead

Mock'n-Hire

AI-powered resume screening & mock interviews

A recruiter-facing platform for automated resume screening and personalized mock interviews - combining candidate ranking with real-time stress and emotion feedback.

Precision@10
86.4%Precision@10
Top-5 accuracy
88.2%Top-5 accuracy
emotion accuracy
82.6%emotion accuracy
per 50 resumes
3.2minper 50 resumes
FastAPIMistral-8x7BSentence TransformersMobileNetV2TensorFlow+5
Read the case studyLive demo
ML SystemsIEEE TALE 2026 · accepted

Jan 2025 - Apr 2025 · Project Lead

AffectLearn

Sentiment-aware adaptive STEM tutor

An adaptive STEM tutoring system that adjusts explanations, quiz difficulty and response tone based on how the learner sounds, looks and writes.

learner approval
85.2%learner approval
BLEU
0.451BLEU
ROUGE-L
0.772ROUGE-L
Flesch readability
71.1Flesch readability
TinyLLaMALoRARoBERTaWhisperCNN (FER2013)+5
Read the case study
ML SystemsIEEE · accepted

2025 - 2026 · Co-author · ML & backend

EcoSphere-AI

Explainable AI for climate-smart housing

A multi-hazard housing safety recommendation system that scores any location's flood, heat and drought risk - and explains why, with SHAP.

AUC
0.92AUC
locations evaluated
14,522locations evaluated
hazards modelled
3hazards modelled
XGBoostSHAPGoogle Earth EngineBigQueryVertex AI+4
Read the case study
HackathonTredence Hackathon · Top 8 of 80

2025 · Team · 24-hour sprint

TravelSync

AI itinerary planner

An AI itinerary planner built in a 24-hour sprint, wiring real-time travel APIs into a trip that adapts to weather, budget and pace.

of 80 teams
Top 8of 80 teams
build sprint
24hbuild sprint
PythonFastAPITravel APIsLLM planning
Read the case study
ML SystemsInfosys Springboard

Oct 2024 - Dec 2024 · AI/ML Intern · Infosys Springboard

GlucoSense

AI-powered diabetes detection

A machine-learning pipeline that classifies individuals as diabetic, pre-diabetic or healthy from healthcare and lifestyle data - built for early risk detection.

classes modelled
3classes modelled
models compared
5+models compared
PythonScikit-learnPandasNumPyMatplotlib+2
Read the case study

Research

Four papers, accepted at IEEE conferences.

Each one is a system I helped build, written up and presented. Publication is pending for all four.

IEEE GCON-26AcceptedCo-author

HealthATM: 3D Lung Nodule Detection via Knowledge Distillation

A lightweight and explainable AI system for lung nodule screening on edge devices.

IEEE ICCNT 2026Accepted2nd author

Mock'n-Hire: AI System for Automated Resume Screening

Semantic resume ranking, personalised question generation and real-time stress feedback.

IEEE TALE 2026Accepted2nd author

AffectLearn: Sentiment-Aware Adaptive STEM Tutor with LoRA-Tuned LLMs

Multimodal emotion feedback steering a LoRA-tuned TinyLLaMA tutor.

IEEEAcceptedCo-author

Explainable AI for Climate-Smart Housing: A Multi-Hazard Recommendation System

XGBoost + SHAP on Google Earth Engine data for flood, heat and drought risk.

Toolkit

Skills

The tools I reach for when building and shipping.

Languages

  • Python
  • SQL (PostgreSQL)
  • MongoDB

Backend & APIs

  • FastAPI
  • REST APIs
  • Pydantic
  • Supabase
  • Docker
  • Redis / RQ
  • LangChain
  • Express.js

ML & AI

  • Scikit-learn
  • XGBoost
  • Pandas
  • NumPy
  • Transformers
  • FAISS
  • RAG pipelines
  • LoRA fine-tuning
  • Context Engineering

Data & Cloud

  • Git / GitHub
  • Google Earth Engine
  • Vertex AI
  • Gemini API

Core CS

  • OOP
  • DBMS
  • Operating Systems
  • Computer Networks

Timeline

How I got here.

  1. 2017

    NMMS Scholarship

    National Means-cum-Merit Scholarship - awarded in 8th standard

    Achievement

  2. 2022 - 2026

    B.Tech CSE · Amrita Vishwa Vidyapeetham

    Amritapuri campus · CGPA 8.29 / 10.0

    Education

  3. Oct - Dec 2024

    AI/ML Intern · Infosys Springboard

    Built GlucoSense - diabetes risk classification pipeline · certificate awarded

    Experience

  4. Jan - Apr 2025

    AffectLearn - Project Lead

    Sentiment-aware STEM tutor with LoRA-tuned TinyLLaMA · accepted at IEEE TALE 2026

    Project

  5. Mar - Jul 2025

    Mock'n-Hire - Project Lead

    AI resume screening + mock interviews · accepted at IEEE ICCNT 2026

    Project

  6. 2025

    Tredence Hackathon - Top 8 of 80

    TravelSync, an AI itinerary planner, built in a 24-hour sprint

    Hackathon

  7. 2025 - 2026

    EcoSphere-AI - Co-author

    Explainable AI for climate-smart housing · accepted at IEEE

    Project

  8. Jan - May 2026

    HealthATM - Project Lead

    Lung nodule screening on edge devices · accepted at IEEE GCON-26

    Project

  9. June 2026

    Graduated · B.Tech CSE

    Amrita Vishwa Vidyapeetham, Amritapuri · certificates received August 2026

    Education

Words

What people I worked with say.

Rahul took the backend on HealthATM and stayed with it until it worked. When the model kept failing on the awkward cases, he rewrote the pipeline instead of working around it. He does what he says he will do.
KKowshik PadalaTeammate · HealthATM, EcoSphere-AI
He breaks a big pipeline into parts, builds them one at a time, then wires them together without fuss. Our demo ran on the first attempt, which almost never happens.
TTeja Sai SathwikTeammate · Mock'n-Hire, EcoSphere-AI
Rahul asks careful questions and then comes back with something built. He stayed steady through the review cycles, which is not easy at this stage.
AAjila S. BabuFaculty · Amrita School of Computing
Consistent, and willing to take on the parts of a project nobody volunteers for. His work on the implementation side was dependable throughout.
PParvathy R.Faculty · Amrita School of Computing

Contact

Get in touch

I am actively looking for software roles - AI/ML and backend. If you are hiring, or just want to talk systems, my inbox is open.

Email me

Vijayawada, Andhra Pradesh · Actively looking for software roles · AI/ML & backend

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