Boston University
Master of Science (MS), Computer Science
Fall 2025
CS630 AlgorithmsCS506 Data ScienceCS542 Machine LearningCS440 Artificial Intelligence
Spring 2026
CS505 Intro to NLPCS585 Image and Video ComputingCS549 Spark ML Practicum
Vishal Singh
Machine Learning Engineer | MS CS @ Boston University
building NLP and computer vision ML systems (RAG, agentic workflows, medical imaging), with prior production impact of 35% lower latency and 25% fewer regressions.
Education
Learning journey
Sep 2025 - May 2027
IILM University, Greater Noida
B.Tech, Computer Science
Key Coursework
Data StructuresAlgorithmsDBMSComputer NetworksOperating SystemsSoftware EngineeringCompiler DesignComputer Vision
Skills
Technical Stack
Python
TypeScript
JavaScript
Java
C++
Node.js
Express.js
Spring Boot
Hibernate
FastAPI
React
Next.js
Redux Toolkit
React Query
PyTorch
TensorFlow
scikit-learn
pandas
NumPy
OpenCV
PostgreSQL
MySQL
MongoDB
Docker
Git
JIRA
Figma
Experience
Where I have contributed
Senior Software Engineer II- Appinventiv- Sep 2023 - Aug 2025- Noida, Uttar Pradesh, India
Building software products with a focus on dependable delivery and clear UI.
- Worked on enterprise grade features with predictable performance.
- Partnered with teams to keep front-end patterns consistent across modules.
Senior Software Development Engineer- Newgen Software- Feb 2022 - Sep 2023- Noida, Uttar Pradesh, India
Contributed to product teams shipping web applications for enterprise users across progressive roles.
- Handled feature delivery and maintenance for web modules.
- Kept UI states simple to reduce support load.
- Implemented UI flows with attention to error handling and accessibility basics.
- Coordinated with backend teams for REST API integration.
Associate Software Developer- Thoughts2Binary Consulting & Solutions- Feb 2021 - Feb 2022- Gurugram, Haryana, India
Helped modernise a B2B ecommerce product and standardise UI components.
- Revamped a B2B ecommerce product from Angular to React.
- Built reusable components to keep the look and feel consistent.
Software Engineering Intern- NEC Technologies India Pvt Ltd.- Jun 2019 - Oct 2019- Noida Area, India
Internship supporting energy and networking solutions.
- Worked on GRID STORAGE SOLUTION (GSS) of NEC Energy Solutions, USA.
- Contributed to an IoT based advanced router handling large subnet information.
Projects
Selected work
Newgen One - Enterprise Workflow Platform
Built high-performance React modules for enterprise workflow automation serving large-scale clients.
40% faster rendering95% sprint completionEnterprise scale
Built enterprise workflow management modules on top of NewgenONE's low-code, content-centric platform using React, Redux Toolkit, and TypeScript. Optimized data-heavy rendering and UX for large-scale document processing and case automation used by regulated enterprise clients.
Key Achievements:
- Optimized rendering performance by 40% via normalization, memoization, and incremental updates.
- Raised sprint completion from 80% to 95% by enforcing clear API contracts and integration standards.
- Built scalable component architecture and state management for enterprise workflows.
- Delivered a microfrontend shell with independently deployable modules so teams ship without full redeploys.
Enhanced UX for enterprise clients, reduced regressions, and accelerated delivery through reusable components.
ReactRedux ToolkitTypeScriptPostgreSQLExpress.jsReact Query
Quivers E-Commerce Platform
Modernized B2B e-commerce platform from Angular to React with real-time analytics dashboards.
Full platform migrationPWA enabled5-person team
Led migration of a B2B e-commerce platform from Angular 1 to modern React; built operational dashboards and PWAs for business analytics, focusing on performance, maintainability, and UX.
Key Achievements:
- Migrated legacy Angular 1 codebase to React, improving load times and maintainability.
- Developed analytics dashboards with real-time KPI visibility and robust data sync.
- Built reusable UI library with Material UI and responsive layouts.
- Added lightweight product-ranking hooks to consume recommendation scores from backend services.
Modernized the platform, improved UX/performance, and enabled data-driven decision making with dashboards.
ReactReduxMaterial UIPostgreSQLREST APIsPWA
Interport Cargo Services
Container Booking and Tracking Platform
Interport Cargo - Container Management Platform
Built enterprise logistics platform for an Australian freight company supporting 10K+ users and real-time container tracking.
35% faster performance10K+ users25% fewer regressionsReal-time tracking
Built a production container booking and tracking management system for Interport Cargo Services (Brisbane) while at Appinventiv. The platform supports freight forwarders, customs brokers, and logistics coordinators with booking workflows, cargo documentation, and status timelines across port and warehouse operations.
Key Achievements:
- Improved page load performance by 35% with targeted profiling and render optimizations.
- Designed API orchestration patterns supporting 10K+ users with caching and resilient error handling.
- Built near real-time analytics ingestion for cargo tracking metrics and operations dashboards.
- Reduced regressions by 25% with tighter validation and integration quality checks.
- Cut development time by 20% with reusable workflow components and shared UI patterns.
Streamlined freight operations by improving booking speed, shipment visibility, and documentation accuracy across the logistics lifecycle.
TypeScriptNext.jsReact QueryNode.jsFastAPIPostgreSQLExpress.js
NEC AEROS
Energy Storage Management and Monitoring System
NEC AEROS - Energy Storage Control Platform
Built IoT communication infrastructure for grid-scale energy storage management across utility-grade battery installations.
<250ms latencyGrid-scale deployment99.9% uptimeReal-time monitoring
Developed IoT networking and API infrastructure for NEC Energy Solutions' AEROS platform, which supported utility and industrial battery deployments at global scale (750MW+). Built low-latency communication paths for telemetry, control, and health monitoring where response time and reliability directly impacted grid services.
Key Achievements:
- Delivered REST APIs for remote device management with sub-250ms response targets.
- Implemented TCP/UDP telemetry channels with retry/error handling to support 99.9%+ uptime goals.
- Built DHCP-based provisioning flows for distributed edge device rollout across multiple sites.
- Designed service communication for high-throughput battery, inverter, and sensor data streams.
- Improved operational reliability via validation checks for critical control and telemetry payloads.
Supported mission-critical grid operations including frequency regulation, renewable integration, and peak demand management for utility customers; AEROS was later acquired by LG Energy Solution.
PythonFlaskMySQLREST APIsTCP/UDPDHCPIoTReal-time Systems
Recognition
Awards and achievements
Pinnacle Performance Award
Newgen Software Technologies
Recognised for exceptional contributions and leadership on product releases.
Second Prize - Inter-School Essay Writing Competition
Earned for clear writing and structured arguments early in school.
Coordinator - Association of Computing Activities
Mentored juniors and helped improve the academic environment.
First Prize - Model Presentation "IGNITE 2K19"
Presented a strategic IoT model and won first place.
Certifications
Licenses and credentials
Now
Currently exploring
What I am building this month
Projects from my MS coursework and research
Building RAG (Retrieval-Augmented Generation) pipelines for domain-specific question answering systems.
Developing agentic AI chatbot with tool-calling capabilities and multi-step reasoning workflows.
Creating data pipelines for video frame analysis - sentiment detection and emotion recognition from facial expressions.
Working on medical imaging analysis projects using CNNs for diagnostic assistance and anomaly detection.
Exploring double exposure correction techniques in image processing using computer vision algorithms.
Interests
Domains and problem spaces I keep returning to
Medical AI and healthcare diagnosticsComputer vision for video analyticsAgentic AI and LLM orchestrationReal-time data pipelinesMultimodal ML systems (text + vision)RAG architectures and vector databases
Contact
Let's build something useful
Tell me what you are building
Share context, timeline, and goals. I usually respond quickly with a concrete next step.
Reach out
I usually reply within 1-2 hours.