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Full Stack AI Engineer with 2+ years in Machine Learning & 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 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.