Aliasgar Bootwala
Backend Developer
4+ years exp
Management: 1-2 years (6-15 people)
20+ projects
Python
JavaScript
SQL
TypeScript
Node JS
API Design: 6/10
System Architecture: 6/10
Security & Auth: 6/10
Active 1 day ago
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Overview
Technical skills
Projects
Timeline
Roles
Overview
Senior backend engineer specializing in building browser-bridged AI agents and production Node.js services. The strongest proven skill is designing and implementing a browser-to-local bridge and agent pipeline with SSE, claim/retry logic and LLM-output parsing (see OpenBrowser's sse-hub, server and browser-extension background/content scripts). There is limited public evidence of schema migration history, advanced distributed systems (e.g., Kafka-based pipelines), or an infra-grade observability/ops setup.
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Technical skills
Languages
5
Python
JavaScript
SQL
TypeScript
Node JS
Node JS
12
Morgan
Multer
Express
Fastify
Mongoose
Bcrypt
Axios
Joi
Helmet
Pino
InversifyJS
Dotenv
Frontend
3
React.js
Next.js
Zod
DevOps
8
Amazon S3
AWS
Rest API
GitHub
Git
Linux
Grafana
Docker
Databases
4
MongoDB
PostgreSQL
Redis
Apache Kafka
Other
14
ChatGPT
Figma
Playwright
Prometheus
MinIO
Vitest
SWR
Loki
Fluent UI
CI/CD
DeepSeek
Jest
QA
Postman
Projects
Whatsapp Automation
Whatsapp automation allow to auto reply to whatsapp msg uisng ai agent
Built and published an npm CLI/SDK for deterministic MongoDB schema migrations. It compares Mongoose models with the live database through a multi-stage scan, diff, generate, and migrate workflow, using AI only to assist rename detection. Added dry-run and restore/rollback support and implemented streaming backups to reduce manual migration effort.
Created a local-first CLI AI coding agent that connects multiple browser AI services to a developer’s local project files. Used a Chrome MV3 extension plus a Fastify server with SSE to bridge browser responses to the local workflow without requiring API keys or cloud storage. Reworked response capture from DOM scraping to API interception to increase accuracy and reduce parsing issues.
Developed a video/comment platform featuring threaded comments and comment search backed by MongoDB and MinIO. Improved search and listing performance by reworking MongoDB aggregation stages and adding indexes. Built a controller-service-repository backend structure using Inversify for dependency injection, with request-ID logging, Joi validation, and JWT-based authentication with token blacklisting.
Timeline
Savitribai Phule Pune University (University of Pune)
Bachelor's Degree ·
Artificial Intelligence (AI) and Data Science (DS)
Backend Developer
·
Middle
Hatim Technologies
·
Full-Time
Worked on a multi-tenant payment service provider platform exposing a unified REST API across multiple payment gateways. Built a configuration-driven, MongoDB-backed payload mapping system to streamline onboarding of new gateways. Implemented smart tenant routing, backend authentication, scheduled settlement/analytics jobs, and a Kafka-based async transaction pipeline with Redis retries and dead-letter handling. Monitored production transactions using Grafana, Prometheus, and Loki for request correlation and troubleshooting.
Node JS
TypeScript
MongoDB
Apache Kafka
Redis
Grafana
Prometheus
Loki
Docker
Senior Backend Developer
Confidence: High API Engineer
Senior backend engineer specializing in building browser-bridged AI agents and production Node.js services. The strongest proven skill is designing and implementing a browser-to-local bridge and agent pipeline with SSE, claim/retry logic and LLM-output parsing (see OpenBrowser's sse-hub, server and browser-extension background/content scripts). There is limited public evidence of schema migration history, advanced distributed systems (e.g., Kafka-based pipelines), or an infra-grade observability/ops setup.
API Design
6/10
How well APIs are designed
API design shows deliberate structure: consistent BaseController responses, Joi validation, pagination and search endpoints, SSE and browser-bridge API surface. Versioning and idempotency keys are not prominent but error contract consistency and pagination are implemented.
Data Layer & Database
5/10
Working with databases
Data layer uses Mongoose repositories, repository/service separation, bulk insert seeding, and a database connection wrapper; there is input validation and blacklist token model, but no migration chain or advanced transactional handling is present.
Scalability & Performance
4/10
Handling load and speed
Scalability and performance include sensible batch inserts, SSE-based real-time dispatch with reconnect/retry and a job queue for eventual delivery; there is limited evidence of caching strategies, load-testing, or sophisticated rate-limiting.
System Architecture
6/10
Overall system structure
Clear module boundaries and separation of concerns (controllers/services/repositories, DI via inversify, parser/operations/CLI/server split) and considered orchestration of a browser-extension to local-bridge architecture indicate conscious system design.
Security & Auth
6/10
Protecting data and access
Authentication and input-boundary security are present: bcrypt for passwords, JWT via httpOnly cookie, token blacklist, Joi validation and auth middleware; secrets and dependency-audit practices are not visible in code alone.
Reliability & Observability
5/10
Stability and monitoring
Reliability practices include SSE reconnect, retries and queueing in the extension bridge, graceful server start/close usage in CLI flow, and structured logging utilities; full observability pipelines, circuit breakers, and advanced retry-with-jitter patterns are not evidenced.
Expertise
Backend AI & LLM· Senior
Databases & Vector Storage· Middle
Messaging & Real-time· Middle
Microservices & API Architecture· Middle
Node.js· Senior
Industries
Artificial Intelligence· Senior
Robotics· Senior
Media & Entertainment· Middle
Technologies
Node JS· since 2024 · Senior
Rest API· since 2023 · 20+ projects
Express· since 2024
Bcrypt· since 2024
Fastify· since 2024
Joi· since 2024
Multer· since 2024
Mongoose· since 2024
Helmet· since 2024
Dotenv· since 2024
Morgan· since 2024
InversifyJS· since 2024
Pino· since 2024
Recommendations
- Lead development of browser-integrated LLM agents and CLI tooling that require parsing streamed model outputs and safe file-operations (SSE bridge + operation planner).
- Build REST/real-time services that need robust client-bridge logic and session claim semantics (SSE/webhook bridging, job queueing and retry).
- Develop Node.js API backends with MongoDB where clear controller-service-repository separation and DI are required.
- Prototype robotics or telemetry microservices that combine simulation, real-time telemetry and web front-ends.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
Senior Frontend Developer
Confidence: High App Engineer
A senior-level app engineer focusing on complex client-side integrations and end-to-end agent workflows with strong practical experience building browser bridges and interactive web UI. The strongest proven skill is cross-process frontend integration and capture/parsing of streamed AI responses as implemented in the browser-extension content-script and background SSE/dispatch logic. There is less public evidence of formal test coverage, measurable performance benchmarking, or use of modern frontend frameworks like React in the code shown.
UI Component Architecture
6/10
How interface parts are built
UI component architecture shows deliberate composition, a small custom hyperscript/component system and separation of concerns rather than relying on a UI kit, with reusable components and clear mounting lifecycle.
Evidence
yt_comment_search/public/web/assets/js/ui.js: h(), mount(), frag(), clear() - custom hyperscript and mounting lifecycle
yt_comment_search/public/web/components/commentThread.js: commentThread, refreshNode - component composition and in-place updates
yt_comment_search/public/web/components/videoCard.js: videoCard - componentized cards used by pages/home.js
Responsive & Cross-browser
6/10
Works on all screens and browsers
Responsive and cross-host handling is explicit; CSS uses fluid grids and media queries and the browser extension handles shadow DOM and many host-specific selector differences.
Evidence
yt_comment_search/public/web/assets/css/app.css: responsive grid, media queries and fluid layouts
OpenBrowser/browser-extension/src/providers.js: getProviderForHost + shadowRoot traversal and host-specific selectors
yt_comment_search/public/web/assets/css/theme.css: prefers-reduced-motion handling and focus-visible styles
Performance Optimization
4/10
Speed of the interface
Performance-conscious patterns appear (skeleton UI, batched DOM updates, SSE streaming and job queuing) but there is no measured optimization data or bundle instrumentation present.
Evidence
yt_comment_search/public/web/assets/js/ui.js: skeletonGrid() and use of document fragments to reduce reflow
OpenBrowser/browser-extension/src/background.js: SSE stream reader, reconnect/backoff and pendingDispatches queueing
OpenBrowser/browser-extension/src/content-script.js: chunked postBrowserChunk() and careful polling/stability heuristics
Accessibility & Semantics
7/10
Usable for everyone
Accessibility and semantics are actively considered: focus trapping in modals, ARIA attributes on interactive controls, skip links and reduced-motion handling are present.
Evidence
yt_comment_search/public/web/assets/js/ui.js: openModal(), trapFocus(), ARIA attributes (role=dialog, aria-modal) and skip link utility
yt_comment_search/public/web/components/commentThread.js: reactionButton sets aria-pressed and descriptive aria-labels
yt_comment_search/public/web/assets/css/theme.css: @media (prefers-reduced-motion: reduce) and :focus-visible styling
State Management & Data Flow
6/10
Managing data in the app
State and server-state flows are well-managed: optimistic UI with rollback, SSE-based eventing, buffered sensor windows and retry/claim semantics appear across projects.
Evidence
yt_comment_search/public/web/pages/home.js: onReact() - optimistic update then rollback on API error
OpenBrowser/browser-extension/src/background.js: connectBridgeStream(), consumeSse(), pendingDispatches retry/backoff
ISL_APP/isl-glove-AI/src/sockets/sensor.socket.js: addToBuffer/flushBuffer usage and stream:end handling
UX & Visual Polish
7/10
Look and feel quality
UX attention is visible: skeletons, empty/error states, smooth transition behaviour, confirm dialogs and clear user feedback are implemented across pages and CLI flows.
Evidence
yt_comment_search/public/web/assets/js/ui.js: skeletonGrid(), emptyState(), errorState(), toast()
OpenBrowser/src/index.ts: runAgent/runAsk flows with WaitingSpinner, diffs preview and confirm() before applying changes
yt_comment_search/public/web/pages/home.js: empty states and smooth open/close video transitions
Verified artifacts
Expertise
Browser Extensions Development· Senior
Frontend AI Integration· Senior
Frontend Architecture & Build Tools· Middle
Industries
Media & Entertainment· Middle
Software· Middle
Technologies
Next.js· since 2024 · 10+ projects
Loki· since 2024
Prometheus· since 2024
Docker· since 2024
Grafana· since 2024
Axios· since 2024
SWR
Fluent UI
Recommendations
- Lead development of browser-extension powered integrations that require robust host-site selectors, shadow DOM traversal and SSE/bridge coordination.
- Build and maintain AI-assisted developer tooling (CLI + extension + bridge) where streaming capture, incremental chunking and deterministic parsing are required.
- Implement medium-complexity single-page apps with custom vanilla components, accessibility, and optimistic server-state flows (comments, reactions, paginated lists).
- Collaborate on embedded-to-cloud inference pipelines where buffering, batching and socket-based orchestration are needed (edge device ingestion and prediction workflows).
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
Senior QA Engineer
Confidence: High Automation Engineer
Full-stack engineer (senior-level) working across browser extension automation, CLI agent tooling, web backend, and robotics dashboard frontends; strongest at building resilient browser-bridge automation and CLI-agent workflows. The most proven skill is browser-based E2E automation and LLM capture/parsing, evidenced by the browser-extension content-script, the markdown-agent parser (merge/normalize/mergeFileBlocksIntoOperations) and Playwright E2E tests. Public code shows robust application and automation engineering but does not provide formal performance/load testing, mutation testing, or linked bug-RCA artifacts.
Test Automation Frameworks
6/10
Building automated tests
Test automation frameworks and E2E infra with Playwright are present and reasonably configured (reporter, traces, webServer). There is selector discipline and meaningful E2E tests; limited evidence of a richer fixture layer, factories or heavy parallelization.
Evidence
eric_robotics_assignment/playwright.config.ts: Playwright config with trace, screenshot, webServer and retries settings
eric_robotics_assignment/e2e/dashboard.spec.ts: Playwright E2E tests exercising UI flows and API preconditioning
eric_robotics_assignment/package.json: test:e2e script and devDependency @playwright/test
Test Coverage & Strategy
5/10
What and how to test
Riskful E2E scenarios and retries are coded (precondition helpers, state checks) indicating thought about negative and stateful flows; however there is no large surface of property-based tests, mutation testing or a clearly documented risk-based tagging strategy.
Evidence
eric_robotics_assignment/e2e/dashboard.spec.ts: ensureActiveMission helper sets API preconditions and tests multiple flows including emergency reset
eric_robotics_assignment/playwright.config.ts: trace and screenshot-on-failure settings enabling debugging
API & Integration Testing
5/10
Testing how parts work together
API and integration evidence includes direct API calls from Playwright tests, server controllers with validation and error handling, and DB seeding tools for integration scenarios; contract/schema testing frameworks (eg Pact/Schemathesis) are not present.
Evidence
eric_robotics_assignment/e2e/dashboard.spec.ts: uses request (APIRequestContext) to call /api endpoints for test setup and verification
yt_comment_search/src/controllers/comment.controller.ts: Joi-based validation and structured error handling in controller endpoints
yt_comment_search/scripts/test/seed.comments.ts: DB seeding tool to create large realistic datasets for integration testing
Performance & Load Testing
Testing speed under load
Not evidenced in public code
Bug Reporting & Analysis
2/10
Finding and describing bugs
There is deliberate error handling and helpful diagnostic settings (traces/screenshots) but no public bug-tracking artifacts, RCA documents, flaky-test investigations or linked issue→fix workflows.
Evidence
yt_comment_search/src/controllers/base.controller.ts: centralized response formatting and error handling patterns
eric_robotics_assignment/playwright.config.ts: traces and screenshot-on-failure to aid bug triage
CI Test Integration
6/10
Running tests automatically
Test integration with CI-like settings is visible in Playwright config and npm scripts; webServer and trace/screenshot retention is configured, but there are no visible CI workflow files or history trends in the human-authored files provided.
Evidence
eric_robotics_assignment/playwright.config.ts: webServer, reporters, trace: retain-on-failure and screenshot: only-on-failure
eric_robotics_assignment/package.json: test:e2e and test scripts wired for CI usage
Expertise
SDET & Test Engineering· Middle
API Testing & Contract Validation· Middle
Technologies
QA
TypeScript· since 2024 · Senior · 5+ projects
Playwright
Postman
Jest
CI/CD
Vitest
Recommendations
- Develop browser automation, CLI agent tooling and LLM-to-files workflows (extension + local bridge + parser/operations execution).
- Build end-to-end test suites and maintain Playwright E2E scenarios including API preconditions and deterministic seeding (DB seeds) for CI runs.
- Implement contract testing and schema-based API validation (e.g., Schemathesis or Pact) and add explicit CI workflow files to run E2E with artifact retention.
- Add property-based or mutation testing for parser and operations logic to harden edge-case behavior for streamed/partial LLM outputs.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories: