NIKHIL REDDY
APPLIED AI · MACHINE LEARNING · RESEARCH

Curiosity.
Engineered.

I'm Nikhil Reddy. I turn complex data into thoughtful AI systems — from molecular machine learning to responsible healthcare AI.

Explore my work Let's connect
Open to AI / ML engineering & data science roles
PORTFOLIO / 2026WORCESTER, MASSACHUSETTS SCROLL TO EXPLORE
EDUCATIONNortheastern University

MPS · Artificial Intelligence

FOCUSApplied machine learning

Scientific AI · APIs · Responsible AI

RESEARCHbioRxiv preprint co-author

AI frameworks for scientific problems

01 / SELECTED WORK

Ideas, put to work.

A closer look at the data, the decisions,
and the systems I built.

5 PUBLIC PROJECTS
MODEL TO API / WORKFLOW
attrition / app.py
@app.route("/predict")
def predict():
    features = preprocess(inputs)
    result = model.predict(features)
    return jsonify(result)
INPUTMODELJSON
GRADIENT BOOSTINGPOST /predict
02 / APPLIED MLINDEPENDENT PROJECT

Employee attrition
prediction API

A Python and Flask prediction pipeline that turns workforce features into employee attrition predictions through a REST API.

  • Flask
  • scikit-learn
  • Docker
GitHub
PRIVACY / FAIRNESS / PREDICTION
30-DAY READMISSIONRESPONSIBLE AI
03 / HEALTHCARE AIGROUP PROJECT

Healthcare readmission,
with responsibility

Exploring readmission prediction, differential privacy, and fairness across racial groups using the UCI diabetic readmission dataset.

  • Python
  • diffprivlib
  • Fairness analysis
GitHub
PRIVACY–UTILITY / EXPERIMENT
ORIGINAL DATANOISE + MODEL
LAPLACE NOISELOGISTIC REGRESSION
04 / PRIVACY RESEARCHEDUCATIONAL STUDY

Differential privacy
for medical AI

Comparing tumor classification before and after privacy transformations, and examining the cost of privacy in predictive utility.

  • NumPy
  • Logistic regression
  • Privacy
GitHub
HEALTHCARE SAAS / PROPOSED ARCHITECTURE
CLOUDFRONT + COGNITO
PRODUCTION VPC / 2 AVAILABILITY ZONES
LOAD BALANCERPRIVATE EC2 TIERSRDS / MULTI-AZ
SEGMENTED NETWORKDESIGN CASE STUDY
05 / CLOUD SYSTEMSARCHITECTURE STUDY

AWS medical SaaS
cloud architecture

A documented migration design for a fictional healthcare platform, with private application tiers, managed failover, and separated environments.

  • AWS
  • VPC
  • EC2
  • RDS
GitHub
Complete GitHub index / 09 REPOSITORIES

Private repositories require access from the owner. Their links are included for completeness.

ginkgo-admet-predictive-modelingPUBLIC ↗Employee-Attrition-Prediction-APIPUBLIC ↗privacy-preserving-healthcare-readmissionPUBLIC ↗differential-privacy-medical-aiPUBLIC ↗aws-medical-saas-cloud-architecturePUBLIC ↗signal-vaultPRIVATE ↗frontdesk-pilotPRIVATE ↗My_modelPRIVATE ↗assignmentPRIVATE ↗

02 / THE PERSON BEHIND THE CODE

Analytical mind.
Creative instinct.

NIKHIL KUMAR REDDY CHALAMALLA

I like problems that make me learn something new.

My work sits at the intersection of machine learning, scientific data, and practical software. At Northeastern University, I studied artificial intelligence and built projects spanning molecular property prediction, healthcare analytics, model APIs, and cloud architecture.

I'm interested in what happens beyond a good-looking model score: how the data was prepared, what the evaluation actually proves, and how someone can use the result.

Outside the technical work, I'm a published poet, a former college football captain, and an acrylic painter. Writing, sport, and art keep me curious — and give me different ways to see the same problem.

GRADUATEMPS, Artificial Intelligence

Northeastern University · Boston, MA

UNDERGRADUATE / 2024B.Tech, CSE · AI & ML

CMR Institute of Technology · India

Download résumé

THE TOOLKIT

Tools I build with.

01 / MODELS & DATA

Python · SQL · scikit-learn · Pandas · NumPy · PyTorch · TensorFlow

02 / SCIENTIFIC & RESPONSIBLE AI

RDKit · ChemBERTa · Morgan fingerprints · SHAP · diffprivlib

03 / SYSTEMS & DELIVERY

Flask · Docker · AWS · Git · Linux · SLURM · Power BI

03 / RESEARCH

Questions worth asking.

ResearchGate
01bioRxiv
JUNE 2026PREPRINT

Practical Use of Advanced AI Frameworks on Real-Life Scientific Problems: Three Case Studies

Co-author · Northeastern University

A collaborative study comparing autonomous AI frameworks with human-led, AI-assisted work across treatment response, chemical structure recognition, and molecular property prediction.

Preprint; not yet peer reviewed by a journal.

Read the paper PMC full text ↗DOI ↗
02IJNRD
JANUARY 2024PUBLISHED

Malware Detection Using Machine Learning

Author · Chalamalla Nikhil Kumar Reddy

A review of machine learning approaches to malware detection, covering supervised models, clustering, neural networks, and the role of static, dynamic, and hybrid analysis.

International Journal of Novel Research and Development · Volume 9, Issue 1 · pp. a568–a575 · Paper ID IJNRD2401065

Read the paper Publication certificate ↗Journal record ↗

04 / EXPERIENCE

Learning through building.

SPONSOR PROJECT
HEALTHCARE ANALYTICS

Power of Patient

Data Analyst · AI student project contributor

Contributed to healthcare data preparation, PCS-related predictive analysis, and Power BI dashboards designed to communicate findings to stakeholders.

SEP — NOV 2022
INTERNSHIP

Edugene Technologies

Python Intern

Worked on Python programming and development assignments, strengthening debugging, program logic, and software development fundamentals.

05 / THE BUILDING DESK

Still curious. Still building.

Independent projects in development.
Private code; walkthroughs on request.

RESEARCH PROTOTYPEPRIVATE ↗

Signal Vault

A trading research prototype focused on market-data capture, paper-trading infrastructure, risk controls, persistent journals, and honest after-cost evaluation.

  • Python
  • SQLite
  • Alpaca paper
Private GitHub ↗
LOCAL PILOT APPLICATIONPRIVATE ↗

Frontdesk

An AI receptionist pilot with a local booking application, owner dashboard, conflict-aware scheduling, and voice and calendar adapters prepared for validation.

  • Next.js
  • Fastify
  • PostgreSQL
Private GitHub ↗

PROJECTS IN DEVELOPMENT / PUBLIC LINKS REQUIRE REPOSITORY ACCESS

06 / WHAT'S NEXT

OPEN TO OPPORTUNITIES

Let's build
something thoughtful.

Have an AI role, a research question, or a project in mind?

BEYOND THE NOTEBOOK

A little more human.

Sport, art, and words. The things that keep me curious beyond code.

01 / FOOTBALL

Leading on the field.

Former captain of my college football team. Bringing teamwork, discipline, and a shared sense of purpose to the game.

02 / ART & RECOGNITION

Best Acrylic Painter.

Awarded “Best Acrylic Painter of the School” in high school. Painting is another way I explore ideas, colour, and perspective.

03 / PUBLISHED AUTHOR

Truth and Other
Beautiful Lies

My published poetry book, written as Nikhil Reddy. A creative side of my work, beyond models and code.

View the book ↗SoulInkPoetry ↗
PROJECT NOTES