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AI Engineer with less than a year in LLM pipelines, full-stack development, and cloud deployments.
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 motivated AI Engineer and Software Developer Intern with 7 months of combined experience in designing and implementing robust software solutions. Proficient in Python, TypeScript, React, and Django, with hands-on experience in LLM orchestration, OCR pipelines, and cloud platforms like AWS and Azure. Successfully developed and optimized full-stack applications, enhancing efficiency and automating complex workflows.
Geethanjali College Of Engineering and Technology
Bachelor of Technology · Computer Science
August 1, 2021 – June 30, 2025
Anthrobyte AI
AI Intern
February 1, 2026 – Present
India
GXCO
Software Developer Intern
June 1, 2025 – August 31, 2025
India
Trip Logger
June 24, 2026 – Present
Built a full-stack trip planning platform for US truckers with Django REST and React/TypeScript, supporting multi-stop route optimization, real-time ELD compliance validation, and a multi-driver trip management dashboard. Engineered coordinate clustering to reduce raw OpenRouteService route geometry from millions of points to a minimal optimized subset, improving map rendering performance and eliminating redundant waypoints. Implemented FMCSA-compliant HOS enforcement (11-hour driving, 14-hour on-duty, 30-minute break, 70-hour/8-day cycle) with automated pit stop scheduling, violation detection, and SVG-rendered daily log sheets. Cached route calculations in Redis, reducing repeat route load time from ~15 seconds to under 1 second and eliminating redundant OpenRouteService API calls on previously computed trips.
Bookwise
June 24, 2026 – Present
Built a full-stack library management platform in Next.js 14 with NextAuth authentication, book borrowing workflows, and an admin dashboard. Integrated QStash-triggered email workflows via Resend for transactional notifications, and configured Upstash Redis rate limiting to throttle abusive API traffic. Implemented type-safe Drizzle ORM queries against Neon PostgreSQL and S3-backed media storage via ImageKit for optimized asset delivery.
Cultural Fit Analysis
The candidate's project diversity (library management, trip logger, ERP extensions, AI pipeline) indicates adaptability and a broad interest in technology. Their involvement in organizing events and hackathons suggests a collaborative spirit and engagement with the tech community. The current AI Intern role at Anthrobyte AI shows a clear alignment with an AI Engineer target role, demonstrating initiative and focus.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex system design and optimization in projects. Their experience in organizing events suggests good organizational and teamwork abilities. The internship at Anthrobyte AI aligns well with the target role, indicating a proactive approach to gaining relevant experience.