Hi, Neeta here

Software Engineer & Master in Computer Science

about me

Software Development Engineer with 4+ years of experience in large-scale distributed computing and ad-stack orchestration. Expert in Java and C++, with a proven record of designing fault-tolerant software systems for 200,000+ concurrent users. Specialized in Full SDLC, low-latency data retrieval, and system observability in high-throughput, unscripted live event environments.

experience

Software Developer @ Fidelity Investments

FEB 2025 - PRESENT
  • Architected and deployed fault-tolerant distributed microservices using Java/Spring Boot to orchestrate $1M+ in daily financial transactions with 99.99% system availability
  • Optimized distributed query execution and implemented a multi-node Redis caching strategy, reducing end-to-end system latency by 22% and improving throughput for high-frequency data retrieval
  • Engineered automated CI/CD pipelines using Jenkins and AWS, reducing deployment cycle time by 93% (from 4 hours to 15 minutes) and enabling rapid, high-confidence production releases
  • Identified and resolved a critical memory leak in a high-throughput production data pipeline through comprehensive log analysis, preventing system downtime during peak trading hours

Technical Systems Analyst @ Ubisoft Entertainment

JAN 2022 - NOV 2023

Newcastle, UK

  • Engineered low-level C++ optimizations in a distributed environment to support 200,000+ concurrent live connections, ensuring real-time performance and system stability
  • Resolved 15+ high-priority software regressions utilizing GDB and performance profiling tools, ensuring a stable release for a massive global user base
  • Optimized enterprise data workflows and system resource allocation logic, reducing server overhead and improving overall processing efficiency
  • Automated incident escalation protocols to optimize system recovery, achieving a 15% reduction in Time to Resolution and maintaining high-availability consistency for 200k+ users

Software Engineer @ Blu Jay Solutions

JUN 2020 - NOV 2021

Navi Mumbai, India

  • Maintained high-availability enterprise logistics systems, troubleshooting and resolving complex backend anomalies to ensure 98.5% uptime
  • Validated 20+ software releases by implementing automated regression testing, ensuring zero post-deployment downtime for global clients
  • Monitored application performance metrics using automated tools, identifying and resolving system failure points 40% faster than manual monitoring

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)