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

• 🎓 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