I architect backend systems that handle millions of records, design cloud infrastructure that holds up under pressure, and occasionally ship a full-stack AI product in a weekend.
Backend engineer with 2+ years of industry experience across high-scale systems, cloud-native infrastructure, and AI-driven automation. Currently pursuing a Master's in Software Engineering Systems (GPA 3.7) at Northeastern University, expected May 2026.
At LabCorp, I built a Spring Batch pipeline processing 70M+ records/day and an AI automation service using AWS Lambda and Amazon Bedrock that deflected ~40% of routine support emails. Before that, at ThoughtWorks, I shipped 25+ production features on microservices with Java, Spring Boot, and gRPC — reducing incident detection time by 40% and improving release speed by 30% through Kubernetes and TDD practices (90%+ coverage).
I'm most at home designing distributed systems, cloud infrastructure on AWS, and high-throughput data pipelines — but I also enjoy building end-to-end products, as my hackathon and side projects show.
Outside of engineering, I read a lot of non-fiction, hike when Boston's weather cooperates, and I'm always up for a conversation about distributed systems, developer productivity, or impactful tech.
I believe great engineers don't just write code — they lift others up along the way.
TA for Enterprise Software Design (CSYE 6220) and Web Development Tools & Methods (INFO 6250) — running lab sessions, office hours, and helping students navigate system design, debugging, and backend architecture. Watching someone go from confused to confident on a tricky Spring Boot problem is one of the most rewarding parts of my week.
Design and lead weekly DSA problem-solving sessions for students in tech at Northeastern. It's not just about solving problems — it's about creating a space where people feel comfortable saying 'I don't get this yet' and then working through it together.
Love the energy of building something from zero under time pressure. Most recently shipped DreamChaserAI end-to-end in ~9 hours — an AI platform helping international students navigate grad admissions, complete with backend API, vector search, and PDF export.
Actively involved in the broader tech community: Panelist at Northeastern's Co-op Info Session and MGEN Career Fair · Volunteer at AI Summit by MIT · TieCon Boston · Google Developer Group (GDG) events · and more. Passionate about making the industry more accessible and welcoming for everyone.
I'm always interested in discussing new opportunities, collaborating on exciting projects, or just having a chat about technology.
shreyawanisha1221@gmail.com
Boston, MA