01 //
About
Software engineer with a CS background and a production-systems mindset. I've built automation platforms, ML pipelines, and CI/CD infrastructure at scale - caring deeply about correctness, latency, and systems that don't fail quietly.
Currently pursuing my MS in Computer Science at Northeastern, targeting internships in SWE, MLE, and MLOps. My ML work spans deep learning for bioacoustics (published), NLP with BERT, and containerized model deployment with Docker and Kubernetes.
Off the keyboard, I'm frame-counting through a Kubrick cut, watching sector deltas on a race weekend, or deep in an open world at 3am. All three hobbies are, at their core, about patience and precision.
DRIVER TELEMETRY
LocationBoston, MA
RoleSWE / MLE
StackPython, C#, TS
DegreeMS CS @ Northeastern University
AvailabilityOpen
02 //
Projects
P1
Whose Hoot? - Owl Call Recognition
Published DCNN model classifying 17 owl species from audio signals
85.3%
P2
Amazon Review Summarizer
BERT-based NLP pipeline for multi-domain sentiment and summarization
+91%
P3
CI/CD Parallelization Engine
Automated test orchestration across 20+ microservices at Alter Domus
−40%
P4
Defect Prioritizer
ML model ranking bugs by severity and impact using historical data
v1.2
03 //
Education
2026Present
MS Computer Science
Northeastern University · Boston, MA
Coursework in Programming Design Paradigms, DBMS. Targeting SWE/MLE/MLOps internships for Summer 2026.
20182022
BTech Computer Science
MIT World Peace University · Pune, India
GPA 9.59/10. Published deep learning paper on owl call recognition (DCNN, 17 species, 85.3% accuracy).
04 //
Previous Experience
MAR 2024DEC 2025
SDET-2
Alter Domus · Mumbai, India
Promoted within a year. Built CI/CD parallelization engine across 20+ microservices. Innovator Award + Best Squad Award 2023–24.
MAY 2023MAR 2024
SDET-1
Alter Domus · Mumbai, India
Designed defect prioritization ML model. Reduced QA feedback loop by 40% via Grafana dashboards and automated reporting.
JUL 2022MAY 2023
Associate QC Engineer
Deloitte · Bengaluru, India
Selenium automation framework cutting manual testing effort by 50%. Python + C# stack.
FEB 2021JUL 2021
Data Science and Machine Learning Intern
Chatur Ullu Lab, MIT WPU · Pune, India
Developed an AI classification model using TensorFlow to identify 17 owl species, achieving 85.3% accuracy through Transfer Learning with DCNNs (ImageNet).
05 //
Stack & Skills
L
Python
C#
Java
C++
TypeScript
Bash
.NET
Swing
ML
PyTorch
TensorFlow
Scikit-Learn
HuggingFace
BERT
DCNN
Transfer Learning
NumPy
Pandas
Matplotlib
IN
Docker
Kubernetes
Azure DevOps
CI/CD Pipelines
Grafana
GitHub Actions
MLflow
DB
PostgreSQL
MySQL
MongoDB
AWS (learning)
Azure
T
Selenium
Pytest
NUnit
JUnit
Postman
Git
VS Code
Jira
REST APIs
06 //
Pit Wall Trivia
734
Films logged on Letterboxd
and counting
and counting
Vettel
Favourite driver of all time.
No debate.
No debate.
vscode
Daily driver since 2018.
No regrets.
No regrets.
LOTR - The Trilogy
watched 3 times,
director's cut enjoyer
director's cut enjoyer
Circuit de Spa-Francorchamps
Eau Rouge and Radillion
is peak GP circuit design.
is peak GP circuit design.
3am
Peak coding hour.
Proven repeatedly.
Proven repeatedly.
07 //
Off-Track: Gaming
// Open World · Western
Red Dead Redemption 2
Rockstar Games · 2018
Cinematic · Slow burn
S+
TIER
Story
MODE
100h+
LOGGED
// Action · Surreal
Death Stranding
Kojima Productions · 2019
Meditative · Atmospheric
S
TIER
Solo
MODE
Kojimbo
VIBE
// Racing · Open World
Forza Horizon 4
Playground Games · 2018
Breezy · Seasonal
A+
TIER
Online
MODE
Britain
MAP
// Strategy · MMO
World of Tanks
Wargaming · 2010
Tactical · Grind
A
TIER
PvP
MODE
Veteran
RANK
08 //
Resume / CV
DOCUMENT · PDF
PREVIEW
Swaroop_Nayak_CV.pdf