Full Stack AI Engineer with 2+ years in Machine Learning & Computer Vision
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Assessing your cultural and operational fit
Highly skilled Full Stack AI Engineer with 2.8 years of experience in developing and deploying scalable AI/ML models. Proficient in Python, C++, TypeScript, and various AI/ML frameworks like TensorFlow and PyTorch. Demonstrated expertise in computer vision, natural language processing, and cloud platforms (AWS, Azure, GCP), with a proven track record of improving operational efficiency and accuracy in complex systems.
AISSMS Institute of Information Technology
B.E. · Artificial Intelligence & Data Science
August 1, 2020 – June 30, 2024
AI Alpha Tech
Associate Full Stack AI Engineer
June 1, 2024 – May 31, 2026
Nashik, Maharashtra, India
Indian Space Research Organization (ISRO)
Data Science & Research Intern
July 1, 2023 – December 31, 2023
Ahmedabad, Gujarat, India
Trading Automation System
January 1, 2024 – May 31, 2026
Improved trade execution latency by 15% by architecting a Python algorithmic platform that integrates ML predictive models and APIs for systematic risk management.
DOT Seismic Detector
January 1, 2024 – May 31, 2026
Processed Apollo and Mars data via Python-based signal processing and data analysis techniques (noise filtering and quadratic fitting), achieving 96% event detection accuracy.
AI Agent - Conversational Assistant
January 1, 2024 – May 31, 2026
Constructed a custom automation and customer support tool utilizing Python, FastAPI, and Natural Language Processing (NLP) driven intent recognition, decreasing manual interactions by 40%.
Diamond Defect Detection & Analysis
January 1, 2024 – May 31, 2026
Decoded proprietary formats using Python, OpenCV, and reverse engineering to build a custom computer vision pipeline, saving $50K+ annually.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from computer vision for industrial applications to conversational AI and financial trading systems, indicates adaptability and a broad interest in AI applications. Their experience in both a startup (AI Alpha Tech) and a research organization (ISRO) suggests a versatile mindset. The emphasis on delivering tangible business value and working with cross-functional teams aligns with a collaborative and impact-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by reverse engineering proprietary formats and improving trade execution latency. Their experience in leading cross-functional teams and managing projects indicates good collaboration and operational fit. The ability to deliver quantifiable business impact (e.g., reducing inventory shrinkage by 40%, decreasing manual interactions by 40%) highlights a results-oriented approach.