Neeta Misericordia

Hi, Neeta here!

Software Engineer & Master in Computer Science

about me

I am currently a Full-Stack Software Engineer at Fidelity Investments, where I build large-scale distributed systems and AI-powered developer tooling. Previously, I was at Ubisoft Entertainment and Blu Jay Solutions.

Here are some technologies I have been working with:

Outside of work, I'm nerdy about AI, love tinkering with autonomous systems and robotics, and I'm always building something on the side.

experience

Software Development Engineer @ Fidelity Investments

JAN 2025 - PRESENT
  • Architected and deployed large-scale, multi-tiered Java microservices managing 1M+ daily transactions, ensuring 99.99% reliability and scaling via AWS Lambda and EC2 clusters
  • Engineered a high-performance multi-node Redis caching strategy using Object Oriented Design, which reduced system latency by 22% for distributed computing workloads
  • Executed the full software development life cycle (SDLC) including strict coding standards, code reviews, and source control management via AWS/Jenkins CI/CD automation
  • Resolved complex backend anomalies by designing fault-tolerant solutions for broadly defined problems, preventing service interruptions during peak market trading hours
  • Collaborated with cross-disciplinary teams to conceive and bring innovative products to market, focusing on customer obsession and turnkey solutions for business applications

Software Development Engineer @ Ubisoft Entertainment

JAN 2022 - NOV 2023

Newcastle, UK

  • Coded high-performance distributed software applications in low-level C++ to support 200,000+ concurrent live connections within a large distributed computing environment
  • Developed multi-threaded and embedded software to execute predictions on distributed systems at high scale, handling massive data throughput with exposure to innovative technologies
  • Constructed distributed storage, index, and query systems that are scalable, fault-tolerant, and low-cost to manage global gaming telemetry and user data
  • Delivered high-quality software in a fast-paced Agile environment, managing ambiguity and rapid development cycles measured in weeks rather than months
  • Optimized system observability by implementing advanced logging and monitoring, reducing time-to-resolution for high-priority regressions by 15%

Software Engineer @ Blu Jay Solutions

JUN 2020 - NOV 2021

Navi Mumbai, India

  • Designed and implemented large-scale, multi-tiered distributed software applications using C# and Perl, resulting in a 32% decrease in data retrieval latency
  • Built scalable storage systems and index structures using AWS S3 and PostgreSQL to handle 5TB+ of monthly transactional data and solve enduring business challenges
  • Maintained 98.5% uptime for enterprise logistics systems through automated regression testing and rigorous adherence to build processes and testing standards
  • Pioneered the design and architecture of new system features from the ground up, starting with broadly defined problems to meet evolving customer needs
  • Mentored junior engineers on Object Oriented Design principles and coding standards to ensure the delivery of maintainable and high-quality software

projects

1.

Autonomous AI Security & Self-Healing Infrastructure

  • Engineered a high-performance self-healing microservices architecture using C++ and Python, implementing Finite State Machines (FSM) for automated anomaly detection
  • Deployed a containerized environment using Kubernetes, reducing service downtime by 90% through automated pod rescheduling and health-check logic
  • Optimized system throughput by implementing asynchronous control logic, allowing the infrastructure to handle concurrent failure simulations without performance degradation
C++, Python, Kubernetes, FSM

Real-Time 2D Object Recognition (C++)

  • Engineered a feature extraction pipeline and object classification model using OpenCV, achieving real-time processing speeds for industrial automation scenarios
C++, OpenCV

Document Question-Answering System (MLOps Focus)

NOV 2025 – JAN 2026

  • Built an end-to-end NLP system capable of extracting precise answers from large unstructured datasets
  • Integrated embedding-based retrieval models into scalable infrastructure
  • Optimized preprocessing pipelines to improve data accuracy and model performance
Python, NLP

FinAI — AI-Driven Financial Analytics Platform

MAY 2025 – SEP 2025

  • Contributed to development of an ML platform delivering predictive financial insights
  • Performed feature engineering, data cleaning, and visualization to improve model accuracy
  • Collaborated in an Agile team to deliver modular analytics components
Python, Machine Learning

Mobile Shopping Application (iOS)

SEP 2024 – NOV 2024

  • Developed a Swift-based mobile app with authentication, product workflows, and checkout functionality
  • Engineered scalable application logic and state management for seamless UX
  • Integrated backend services and structured workflows for future analytics tracking
Swift, iOS

Retrieval-Augmented Generation (RAG) System

ADDITIONAL PROJECT

  • Implemented using vector search and TypeScript
TypeScript, Vector Search

Web Data Mining & Pattern Analysis

ADDITIONAL PROJECT

  • Performed using Python and Jupyter
Python, Jupyter

technical skills

System Design

Distributed Systems, Microservices Architecture, Scalability, Fault Tolerance, Design Patterns

Languages

Java, C++, Python, Go, TypeScript, C#, Swift

Cloud & Ops

AWS (S3, EC2, Lambda, DynamoDB), Kubernetes, Docker, CI/CD (Jenkins, GitHub Actions), Infrastructure as Code

Data & Performance

Redis/Caching, Spanner, Elasticsearch, MongoDB, PostgreSQL, SQL/NoSQL Optimization

Performance Engineering

Low-Latency Systems, High-Throughput Pipelines, GDB/Profiling, System Observability

education

Master of Engineering in Computer Science

EXPECTED MAY 2026

St. John's University, New York

Bachelor of Science

2022

MAGH University, India

Certifications

AWS Academy Graduate – Cloud Foundations (2025)