I'm a Master’s in Computer Science student at Northeastern University (Khoury College) with 3+ years of experience building low-latency trading systems, distributed backend services, and AI-powered applications.
Previously Software Engineer II at SS&C Technologies (Eze Software), where I built real-time margin and P&L systems processing 300K+ transactions/day for high-frequency trading desks.
I enjoy designing systems that are:
- ⚡ Performance-critical
- 📈 Quantitatively impactful
- 🏗 Architecturally scalable
- 🤖 AI-augmented
Currently seeking Summer 2026 Internships and Fall 2026 Co-op opportunities.
📍 Boston-based, open to relocation anywhere in the US.
- Designed multi-threaded real-time P&L & margin engines (C++)
- Reduced trade execution latency by 30% via optimized matching algorithms
- Built automated order crossing systems for institutional trading desks
- Containerized enterprise trading platforms for scalable deployments
- Designed microservices with REST APIs and event-driven components
- Experience with Kafka, Redis, Cassandra, Elasticsearch
- Performance testing, load optimization, concurrency design
- Cloud-native deployments using Docker & Kubernetes
- Built agentic AI event recommender trained on Gemini 2.5
- CNN + Genetic Algorithm model achieving 97% accuracy for medical prediction
- Experience with LangChain, PyTorch, TensorFlow, RAG-style systems
- Interested in multimodal IR systems and AI-integrated infrastructure
AI-powered system that:
- Scrapes 1000+ social feeds
- Learns user interests using LLMs
- Recommends relevant events
- Auto-schedules calendars in one click
Tech: React, Agentic AI, Web Scraping, LLM Integration
- Integrated CNN + Genetic Algorithm for feature optimization
- Achieved 97% classification accuracy
- Focused on discriminative feature retrieval
Tech: Python, TensorFlow, Data Visualization
Full-stack learning management system supporting:
- 1,000+ concurrent users
- Course, assignment & grading workflows
- Educator/student data management
Tech: React, Next.js, Express, MongoDB, TypeScript
SS&C Technologies – Eze Software (2022–2025)
- Built real-time margin & P&L monitoring systems for HFT desks
- Automated 70% of pairs trading order execution
- Reduced infrastructure costs by $150K+ via in-house crypto quote simulator
- Redesigned buying power & margin systems across multi-account portfolios
- Received multiple SPOT awards for ownership & impact
(Professional work kept high-level; happy to discuss system design & architecture details.)
C++ • Java • Python • TypeScript • JavaScript • SQL • C
Spring Boot • Node.js • Express • REST APIs • Microservices • Kafka • Redis • Cassandra
PyTorch • TensorFlow • Keras • scikit-learn • LangChain • OpenCV
AWS (EC2, S3, Lambda, SageMaker) • Docker • Kubernetes • Jenkins • Grafana
MySQL • MongoDB • Elasticsearch • Firebase
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🎓 Senator of Technology – Graduate Student Government
Led initiatives like club recommendation systems & student support chatbot -
💻 Graduate Leader – ACM Women’s Chapter
Organized hackathons focused on women-centric tech solutions -
🌸 Events Lead – SHEROs
Curated upskilling & networking events for Women of Color in CS
- Advanced Distributed Systems (consensus, scalability trade-offs)
- Performance optimization in concurrent systems
- Retrieval-Augmented Generation (RAG) architectures
- AI-integrated financial infrastructure
Hackathon addict.
Coffee + late-night system design discussions.
Obsessed with optimizing both algorithms and workflows.
📧 [email protected]
💼 linkedin.com/in/jaisweta-n
🌐 Portfolio
📍 Boston, MA | Open to relocation