Building AI-marketing infrastructure at Crewasis — Open to backend/cloud roles Jan 2027

Backend & Cloud
Engineer

MS in Software Engineering @ Northeastern (3.9 GPA), graduating Dec 2026. Building production APIs, cloud infrastructure, and CI/CD pipelines. Currently shipping backend systems at Crewasis.

View Projects
GitHubGet in Touch
3.9
MS GPA — Northeastern
Dec '26
Graduating
Jan '27
Available Full-Time
Scroll

About

Backend engineer who ships.

I'm a Master's student at Northeastern University finishing my MS in Software Engineering (3.9 GPA), graduating December 2026. Currently building production backend systems at Crewasis — writing Django APIs, optimizing PostgreSQL queries, provisioning AWS infrastructure, and shipping weekly. Previously built REST APIs in C#/ASP.NET Core at Tatvasoft. I focus on backend services, cloud infrastructure, and the CI/CD that ties them together.

Backend Services

Building REST APIs with Django, Spring Boot, FastAPI, and ASP.NET Core. Query optimization, connection pooling, and caching with Redis for low-latency responses.

Cloud & Infrastructure

AWS (EC2, RDS, S3, Lambda, SNS), Terraform IaC, Docker containers, and GitHub Actions CI/CD. Infrastructure that's reproducible and version-controlled.

Databases & Storage

PostgreSQL, MySQL, MongoDB, Redis. Schema design, indexing strategies, query plan analysis, and caching layers for production workloads.

Experience

Where I've worked.

Jan 2026 — PresentCurrent

Software Engineer Co-op

Crewasis · New York, USA

Built and shipped 6 backend features in Django with 90%+ test coverage across weekly releases
Cut deployment time 40% by containerizing services with Docker and automating CI/CD via GitHub Actions
Reduced API latency 35% and database load 30% through PostgreSQL query optimization and Redis caching
Provisioned AWS infrastructure (EC2, RDS, S3, Lambda) serving 5K+ monthly active users
PythonDjangoAWSDockerPostgreSQLRedisGitHub Actions
Jan — May 2024

Software Developer Intern

Tatvasoft · Ahmedabad, India

Built RESTful APIs in C#/ASP.NET Core with Entity Framework, serving 100+ concurrent users at sub-500ms latency
Improved database query performance 30% through PostgreSQL indexing and query plan optimization
Set up CI/CD pipelines in Azure DevOps with xUnit integration tests, reducing production defects by 20%
C#ASP.NET CorePostgreSQLAzure DevOpsEntity FrameworkxUnit

Education

Northeastern University

GPA: 3.9

Master of Science in Computer Software Engineering

Boston, MA · Sept 2024 — Dec 2026

Object-Oriented DesignData Structures & AlgorithmsCloud ComputingHigh-Performance Parallel ComputingData Science Engineering

Nirma University

Bachelor of Technology in Computer Science & Engineering

Ahmedabad, India · Oct 2020 — May 2024

Database Management SystemsOperating SystemsComputer NetworksDiscrete Mathematics

Projects

What I've built.

Backend services, cloud infrastructure, and distributed systems — each with real architecture decisions and measurable outcomes. Click any project for a full case study.

Featured Project

Distributed Task Queue

Celery + RabbitMQ — Circuit Breakers, Observability, Terraform

Production-grade distributed task queue processing asynchronous workloads (image transformation, PDF rendering, webhook dispatch) with FastAPI, Celery, and RabbitMQ. Includes fault-tolerant resilience patterns, full observability, and Terraform-based AWS deployment.

Zero message loss across 10K+ queued jobs via dead-letter routing
100% duplicate elimination with idempotency-key deduplication
Sub-50ms API response latency under concurrent load
8 containerized services with Prometheus/Grafana observability
FastAPICeleryRabbitMQRedisPrometheusGrafanaDocker ComposeTerraformAWS ECS FargatePostgreSQL
CodeView Case Study
Featured Project

Real-Time AI Voice Agent

Sub-Second Phone Conversations — Streaming STT + LLM + TTS

Production voice agent that handles real phone calls with sub-second response latency. Composes Deepgram STT/TTS with an LLM router into a streaming pipeline so the agent starts replying before the caller has finished speaking.

Sub-second perceived latency via end-to-end streaming (no full STT→LLM→TTS wait)
Barge-in support — caller can interrupt the agent mid-sentence
Interrupt-aware router discards stale partial transcripts
Twilio Media Streams + WebSocket for full-duplex audio
PythonDeepgramTwilio Media StreamsWebSocketLLMStreaming
CodeView Case Study
Featured Project

Resilient Cloud Deployment Platform

Full AWS Stack — Terraform IaC, Multi-AZ, Blue-Green CI/CD

Production-grade cloud platform spanning 3 repositories: a FastAPI web service, Terraform IaC for the full AWS stack, and serverless Lambda functions for event-driven email verification. Designed to survive an AZ outage and ship via PR-triggered rolling deploys.

Multi-AZ VPC across 3 zones with Auto Scaling + ALB
Terraform IaC managing every resource across 3 repos
Zero-downtime CI/CD: PR validation → AMI bake → rolling deploy
Serverless email flow: SNS → Lambda → DynamoDB → SendGrid
AWSTerraformFastAPIPackerGitHub ActionsLambdaSNSDynamoDBRDS PostgreSQLS3
CodeView Case Study
Featured Project

Vehicle Rental Microservices Platform

Spring Boot — Concurrent Booking with Transactional Locks

Ride-booking platform built on Spring Boot microservices. The interesting problem: prevent double-booking when multiple users hit checkout for the same vehicle in the same second. Solved with row-level locking on availability + Redis caching for high-read paths.

Concurrent ride-booking via row-level locks — no double-bookings under contention
Sub-200ms reads via Redis caching of vehicle listings and sessions
JWT/RBAC isolating customer, driver, and admin permission sets
Bounded-context microservices: auth, bookings, payments, notifications
JavaSpring BootPostgreSQLRedisJWT/RBACNext.js
CodeView Case Study

Distributed Training Infrastructure

Multi-GPU Pipeline — PyTorch DDP, HDF5, ETL

High-performance distributed training system using PyTorch DDP across multiple GPUs with optimized ETL pipelines and HDF5 compression for large datasets.

PythonPyTorch DDPHDF5ETLWeights & Biases
Case study
Hackathon Winner

RareSense — Rare Disease Diagnostic Tool

Harvard Rare Disease Hackathon 2025

AI-powered diagnostic tool using phenotype-driven disease matching with the Human Phenotype Ontology (HPO) to help healthcare professionals identify rare genetic disorders.

PythonStreamlitHPOBioinformaticsData Science
Case study
Hackathon Winner

PaperVet — Research Paper Compliance AI

MINeD 2025 Hackathon · 3rd Place

Computer-vision pipeline that audits research papers against submission guidelines automatically — catching formatting and compliance issues before reviewers see them.

PythonOpenCVPyTesseractOCRComputer Vision+1
Case study

Air Chords

Vision-Based Musical Interface with Hand Gestures

Real-time computer vision application that transforms hand gestures into musical chords using OpenCV and MIDI synthesis.

PythonOpenCVMIDIComputer VisionReal-Time Processing
Case study

Skills

Technical toolkit.

Backend systems, cloud infrastructure, and the tooling to ship them reliably.

Languages

PythonTypeScriptJavaC#SQLBash

Backend & APIs

DjangoFastAPISpring BootASP.NET CoreCeleryPydanticEntity Framework

Frontend

Next.jsReactTailwind CSSFramer Motion

Cloud & Infrastructure

AWS (EC2, S3, RDS, Lambda, ECS Fargate)DockerTerraformRabbitMQPacker

Databases & Caching

PostgreSQLMySQLMongoDBRedisDynamoDB

Observability & Testing

PrometheusGrafanaOpenTelemetryCloudWatchPyTestxUnit

AI & ML

PyTorchTensorFlowBERT / TransformersHugging FaceOpenCVNLP

Tools

CursorClaude CodeGitGitHub ActionsAzure DevOpsPostman

Contact

Let's connect.

Looking for backend and cloud engineering full-time roles starting January 2027. Let's talk about how I can contribute to your team.

Email

gajera.ma@northeastern.edu

LinkedIn

Malav Gajera

GitHub

malav-250

Location

Boston, MA

Email me about Jan 2027 backend/cloud roles