AI Engineer with 3+ years in Distributed Systems and Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled Software Engineer with 3.5+ years of experience in architecting and delivering scalable solutions. Proficient in Python, JavaScript, and TypeScript, with a strong focus on AI/ML applications, backend development, and distributed systems. Demonstrated ability to enhance platform reliability, optimize workflows, and contribute to complex hardware projects, including RISC-V processors and custom AI/ML accelerators.
NED University
Bachelor of Science · Software Engineering
August 1, 2021 – June 30, 2025
Ehsaan Tech
Software Engineer
July 1, 2025 – Present
India
Linux Foundation
Software Engineer
April 1, 2025 – July 1, 2025
India
Micro Electronic Research Lab
Senior Research Intern
August 1, 2022 – November 1, 2024
India
Qaulai(AI Receptionist)
June 22, 2026 – Present
Created scalable backend services in NestJS to manage AI-powered voice agent leads, defining SQL schemas and queries to reliably handle 1k+ webhook events per day. Integrated VAPI webhooks to ingest, store, and update real-time voice bot call data, improving observability and automation. Deployed secure APIs for lead retrieval, updates, and access verification to support multi-tenant usage across 5+ client accounts.
Avetics Drone Inspection Platform
June 22, 2026 – Present
Replaced the existing Azure Custom Vision solution with a YOLO-based object detection pipeline, improving model flexibility, maintainability, and inspection accuracy for drone-captured imagery. Implemented backend APIs for inspection workflows, image processing, and detection services using Node.js, enabling seamless integration between computer vision models and the web platform.
View Projectconversion-to-TLV
June 22, 2026 – Present
Collaborated on open-source tooling to automate Verilog-to-TL-Verilog conversion workflows. Authored Python automation scripts integrating LLMs to assist hardware translation, reducing manual debugging effort by ~70% across multiple conversion workflows. Focused on reproducibility, reliability, and developer productivity in AI-assisted tooling.
View ProjectAI Applications
June 22, 2026 – Present
(CustomscapeAI, VoiceforgeAI, VoicePIs, CallCenterAI)
Business Systems
June 22, 2026 – Present
(Zamzam Trader, Lead Management CRM, EhsaanCRM, Jahania Poultry System, Famiglia Doro, UDB)
Research & Security
June 22, 2026 – Present
(EnigmaChat, DRBG, Bitcoin Protocol Experiments)
RISC-V & Hardware
June 22, 2026 – Present
(RISC-V UDB, NucleusRV, ChipSimX, MagmaSI)
Computer Vision
June 22, 2026 – Present
(Football Analysis, Flightvault)
Hacktoberfest Participant
Unknown
January 1, 2022 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit through diverse project involvement, including professional AI applications, business systems, research, security, and hardware. Their engagement with open-source communities (Linux Foundation, Hacktoberfest) and collaboration on tooling projects indicates a proactive, team-oriented mindset. The breadth of skills across backend, AI/ML, and even hardware suggests adaptability and a continuous learning attitude, which are positive indicators for cultural alignment in a dynamic AI engineering environment.
Soft Skills & Operational Fit
The candidate's resume highlights 'Communication, Team Collaboration, Conflict Resolution, Leadership, Project Prioritization' as soft skills. Project descriptions indicate collaboration on open-source tooling and working within teams (Ehsaan Tech, Linux Foundation). The ability to streamline onboarding and debug complex codebases suggests problem-solving and operational efficiency. The focus on reproducibility and reliability in AI-assisted tooling aligns with best practices for operational fit.