Dr. Amneek S.

Founder

Mumbai, Maharashtra, India7 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Founder of an AI-powered fleet management startup.
Led development of comprehensive Data Management System.
Expert in Cyber-security with hands-on penetration testing experience.

Stackforce AI infers this person is a Software Engineer specializing in Data Management and Cyber-security within the Automotive Technology sector.

Contact

Skills

Core Skills

Data ManagementSystems ArchitectureBack-end Web DevelopmentDevopsCyber-securityFront-end Web Development

Other Skills

API testingAWS LambdaApplication ArchitectureCC++Continuous Integration and Continuous Delivery (CI/CD)Cybercrime InvestigationData EngineeringDistributed SystemsETLEthical HackingEvent ManagementEvent Marketing StrategyEvent PlanningFirebase

About

I am a highly motivated and experienced software engineer with a passion for solving complex problems through innovative solutions. With 6+ years of experience in the Software industry, I have developed a strong foundation in software development, systems architecture, data management, and DevOps practices. My primary goal is to leverage my skills and expertise to drive value for businesses and end-users by delivering high-quality, scalable, and efficient software solutions. I am always seeking to learn and grow as a professional, keeping up with the latest industry trends and technologies to remain at the forefront of innovation.

Experience

Mechquick

Founder & CEO

Nov 2024 – Present · 1 yr 4 mos

As Founder & CEO of MechQuick, I lead the creation of a revolutionary AI-powered ecosystem that transforms fleet management and vehicle intelligence. Our platform converts raw vehicle sensor data into actionable, predictive insights by utilising cutting-edge IoT integration, real-time diagnostics, and sophisticated predictive analytics.
I lead the end-to-end technology strategy—from designing robust, secure data pipelines and edge processing capabilities to deploying machine learning models (including deep neural networks and LLM-powered analytics) that forecast component failures and optimize performance. Our solution unifies data from 2-wheelers, 4-wheelers, 6-wheelers, and 8-wheelers, ensuring comprehensive, scalable coverage across diverse fleets.
In addition to managing the difficulties of establishing a deep-tech startup in the fast-paced automotive technology sector, my responsibilities also include managing product development, honing our technical roadmap, and directing strategic alliances.

IoT integrationpredictive analyticsdata pipelinesmachine learningdeep neural networksData Management+1

Data sutram

2 roles

Senior Software Development Engineer

Promoted

Jan 2023 – Present · 3 yrs 2 mos · Mumbai, Maharashtra, India · On-site

Key Achievements:
1. Worked on a comprehensive Data Management System (DMS) Dashboard, offering robust metadata search, release management with RBAC, and support for creating data streams and uploading data. Enhanced user experience with data samples and a detailed data catalog.
2. Created the DMS-access tool to simplify middleware CLI usage by implementing profile management, similar to AWS CLI. Enhanced usability by eliminating the need to pass tokens and base URLs with each command.
3. Developed the dms-info tool to consolidate querying and navigation of complex data hierarchies, presenting output in user-friendly YAML format, and offering advanced filtering and search capabilities.
4. Implemented a data release process that seamlessly integrates Datasutram's core DMS and Data Deployment Platform (DDP), ensuring determinability, consistency, handling of stale/discontinued streams, uniqueness of releases, and metadata for co-dependency during deployment.
5. Led a team in developing the Circle Loop App and Webscraper Backend Server system, streamlining web scraping for external users. Key features include a URL importer, database manager, device manager, Firebase manager, task manager, cron jobs for stats rotation, and a REST API.
6. Refined the Circle Loop App's backend by enhancing Firebase design, fixing data storage paths, and storing data in EBS instead of AWS.
7. Optimized code and shell scripting for AWS Lambda (S3) to local Watchdog/inotify, implemented a unified script for processing and compiling, and automated Watchdog's max thread count.
8. Decoupled an authentication module from a client-specific repository and deployed it on a separate server, creating a centralized authentication system that streamlined user verification and token management across clients.
9. Integrated Keycloak for user authentication, role-based access control, and token management, simplifying the overall security architecture and enhancing maintainability.

Data ManagementRelease ManagementAWS LambdaKeycloakREST APIsContinuous Integration and Continuous Delivery (CI/CD)+1

Software Development Engineer

Mar 2022 – Jan 2023 · 10 mos · Mumbai, Maharashtra, India · On-site

Work done in the phase:
1. Extract-Transfer-Load [ETL] on Data Pipeline involving the high-level design of automated trigger mechanism, job-locking ( race prevention ), Roll-back scenarios, data warehouses, data cleaning, etc.
2. Logging - within ETL, DMS [Data Management System], DDP [Data Deployment Platform]. This also involved Log management as per DevOps such as Log rotation, Syslog Integration using rsyslog, and Centralized Syslog Service/Module.
3. Automated Performance Monitoring - Monitored the platform and designed the infrastructure. This was done using R&D of open-source tools, Integration of servers and instances with Prometheus and alert manager. Node exporter was used to scrape system schema and details. Finally, these were integrated with Grafana and escalation policies were set up.
4. Data Validation - Developed designs and scripts to automate API testing for client deployments using YAML configurations, geo-filters, and Levenshtein distance, enabling quantitative assessment of data quality and consistency across deployments.
5. DMS-CLI - Worked in the development of a CLI interface for DMS, integrating commands to interact with the DMS API and execute tasks, streamlining command execution and data management.
6. Documentation processes, Knowledge transfers, and procedural things were handled in parallel.

ETLData ManagementDevOpsAPI testingLog management

Learning while travelling

2 roles

Head of Cyber Security

Promoted

Oct 2021 – Apr 2022 · 6 mos · Kolkata Area, India

1. Network Security - maintaining company's network security infrastructure and documenting it as well by making wise use of subnet masking and preventing unauthorised access to systems by securing firewalls.
2. RBAC- implemented Roll Based Access control mechanism
3. Server Security - RBAC, authentication methods and also putting the VM behind bouncer to make it safer.
4. Application Security - Done penetration testing, made forensics report, implemented measures to protect it against SQL injection, and cross-site scripting (XSS).
5. Backup using borgbackup and training employees for the security protocols.

Cyber-securityVulnerability ManagementPenetration Testing

Software Engineer

Sep 2020 – Oct 2021 · 1 yr 1 mo · Kolkata Area, India

Work done included:
1. Front-end development - Used Javascript framework i.e React for development of the website of the organisation.
2. Back-end development - Handled 4 endpoints of the website with the use of node.js.
3. Database management - use MongoDB to store user inputs and various other data.

React.jsNode.jsMongoDBFront-End Web DevelopmentBack-End Web Development

International organisation of software developers

Global Student Co-ordinator

Aug 2018 – Jul 2020 · 1 yr 11 mos · New Delhi Area, India

Taught 2500+ Students, Organized Free Demo Classes Regarding Cpp, OOPS, DS&A and Cyber Security.
Enrolled students in Hackathons, events and pitched about the same in Bangkok, Thailand