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AI Engineer with less than a year in Computer Vision & LLM systems
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Scientist and AI/ML Engineer with hands-on expertise developing and deploying computer vision pipelines, multi-agent LLM systems, and reinforcement learning frameworks. Proven track record of bridging advanced deep learning algorithms with domain-specific supply chain and logistics optimization challenges. Adept at taking complex models out of research sandboxes and engineering them into production-ready, low-latency APIs utilizing Python, FastAPI, and optimized cloud architectures.
Amrita Vishwa Vidyapeetham
M.sc · Data Science With Logistics And Supply Chain Management
August 1, 2023 – June 30, 2025
University of Calicut
B.sc · Mathematics
August 1, 2019 – June 30, 2022
AISPRY Technologies Pvt Ltd.
AI Engineer Intern
February 1, 2026 – May 1, 2026
Hyderābād, Telangana, India
CubeAI Solutions Tech Pvt Ltd
AI/ML Developer Intern
April 1, 2025 – August 1, 2025
Salem, Tamil Nadu, India
OmniTrack – Spatial Video Analytics Infrastructure
June 1, 2026 – June 1, 2026
Built a real-time computer vision system using YOLOv11 to track warehouse assets and machinery across live video streams. Implemented a geometric geofencing engine using Shapely to calculate real-time vector crossings and trigger perimeter alerts.
Multi-Agent Supply Chain Control Tower
June 1, 2026 – June 1, 2026
Engineered an autonomous risk-mitigation system utilizing LangGraph to orchestrate multi-agent workflows over a stateful cyclic graph. Automated database schema discovery and real-time web-search tools to dynamically detect and draft responses to logistics stockouts.
Dynamic Revenue Optimization Engine
June 1, 2026 – June 1, 2026
Developed a reinforcement learning framework using Deep Q-Networks (DQN), Proximal Policy Optimisation(PPO)to optimize pricing strategies in market simulators. Designed a custom reward function modeling consumer price elasticity to maximize total profit margins against static baselines.
IIT Madras Foundation Level In Programming And Data Science.
IIT Madras
June 1, 2026 – Present
NPTEL Online Certification on Data Base Management System.
NPTEL
June 1, 2026 – Present
Google Data Analytics Professional Certificate.
June 1, 2026 – Present
Complete Generative AI Course With Langchain and Huggingface by Udemy.
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from spatial video analytics to supply chain control towers and revenue optimization, indicates a broad interest and adaptability, which aligns well with dynamic team environments. Their focus on practical applications and solving real-world problems (e.g., reducing recruiter overhead, mitigating logistics stockouts) suggests a results-oriented approach. The combination of academic background in Mathematics and Data Science, coupled with practical internships, shows a strong commitment to continuous learning and growth.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project descriptions, particularly in addressing data starvation and mitigating ghost bounding boxes. Their experience in architecting end-to-end platforms and optimizing backend throughput suggests an operational mindset. The diverse project portfolio indicates adaptability and a proactive approach to learning and applying new technologies.