Hey, there 
I'm Abhijeet, a Software Engineer and AI Specialist with 4+ years of experience. I excel in Python, C#, TensorFlow, PyTorch, SQL, and building scalable systems. Skilled in deploying AI models, developing RESTful APIs, and creating data pipelines, I bring expertise in cloud platforms like AWS and Azure, along with tools like Terraform, Docker, and Kubernetes. My passion lies in merging software engineering with AI to drive innovation.
Abhijeet Solanki
Software Developer
DevOps Engineer
ML Engineer
Application Developer
Cloud Engineer
Data Scientist
Project Manager
Abhijeet Solanki
Software Developer
DevOps Engineer
ML Engineer
Application Developer
Cloud Engineer
Data Scientist
Project Manager
About Me
- Location: Nashville, USA
- Languages: English, Hindi
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Skills:
XcodePythonGitlabSQLDockerMongoDBAWSAzureC++KubernetesGitHubPyTorchRest APITensorFlowMachine Learning
Strengths
Artificial Intelligence & Research
- Designed robust ML models and researched adversarial attack mitigation strategies, published in peer-reviewed conferences.
- Expertise in edge device security for facial detection and LiDAR-camera fusion
Cloud & Backend Engineering
- Built scalable, cloud-native pipelines using AWS, Azure, Docker, and Kubernetes.
- Designed APIs for large-scale financial applications, ensuring on-time delivery.
Autonomous Systems
- Developed real-time object detection using LiDAR and camera fusion.
- Hands-on experience with Jetson Orin and LiDAR sensors.
Technical Leadership
- Led cross-functional teams to deliver end-to-end projects in machine learning and cloud engineering.
- Fostered collaboration between data scientists, software engineers, and business stakeholders to align technical solutions with strategic goals, ensuring seamless project execution
Fun Facts
1,000,000+ Lines of Code Written
Late-night debugging wizard. Tools: terminal, caffeine, and pizza.
1 000+ Cups Of Coffee
99.9% Uptime (Until I Touch It Again)
Resume
Experience
2023 - Present
Research Assistant
Tennessee Tech University
• Research adversarial machine learning attacks and defenses on autonomous vehicle perception systems, specializing in camera and LiDAR sensor vulnerabilities to enhance robustness and security.
• Designing and optimizing deep learning architectures for real-time adversarial attack detection, utilizing Python, PyTorch,
TensorFlow, and OpenCV to improve detection accuracy and computational efficiency.
• Developing automated data pipelines and experimental frameworks for large-scale model evaluation, integrating statistical analysis and visualization techniques for research documentation and academic publications.
2021 - 2023
Senior Software Engineer
Deloitte Inc.
• Developed and maintained AI-driven backend systems for Cortex AI using Python and Django and optimized data pipelines for ML workflows.
• Designed and documented 500+ RESTful APIs using Swagger for Deloitte Ascend CRM platform, implemented malware detection for document uploads, and ensured secure API integrations.
• Optimized MySQL and MongoDB database performance, automated data processing pipelines, and contributed to Ascend CRM development using NodeJS, ReactJS, and ASP.Net.
• Collaborated with QA to address software defects and built data pipelines for financial client onboarding on Cortex AI.
2021 - 2021
Software Engineer
Protech Solutions Inc.
• Integrated US bank API to optimize transaction processing, reducing client time by 28%, and implemented fraud detection algorithms, decreasing fraudulent claims by 38%.
• Diagnosed and resolved memory leaks and performance issues using profiling tools, optimizing backend services in Python (Flask/Django) for scalability.
• Developed and enhanced system features while implementing data validation, anomaly detection, and API security measures to improve transactional integrity.
2020 - 2021
Software Engineer
MidTn Inc.
• Built and deployed Python (Django) microservices for a cloud-based vaccination capacity planning system, improving scalability and efficiency.
• Designed and optimized data pipelines for real-time analytics, integrating ML-driven forecasting for medication demand prediction.
• Developed and deployed interactive data visualization dashboards using Python, SQL, and AWS while implementing Agile methodologies, GitHub for version control, and Travis CI for continuous integration.
Education
2023 - 2025
Tennessee Technological University
Cookeville, TN
Master of Science in Electrical and Computer Engineering.
Specialization: Artificial Intelligence, Perception System, Machine Learning, Data Mining.
2017-2020
Tennessee Technological University
Cookeville, TN
Bachelor of Science in Computer Engineering with Minor in Mathematics.
Programming Skills
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Python100%
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C++90%
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SQL85%
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Docker100%
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PyTorch90%
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MongoDB95%
Tool Stack
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VS-Code100%
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PyCharm75%
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Docker100%
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GitLab95%
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Kubernetes80%
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ONNX90%
Coding
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Python100%
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C++90%
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PyTorch90%
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C#80%
General Skills
Languages
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English100%
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Hindi100%
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Spanish50%
Platforms
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Visual Studio100%
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Xcode95%
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PyCharm100%
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Linux99%
Knowledge
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Data science and machine learning
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Data structures and algorithms
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SQL and database technologies
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Project management and development
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Git and GitHub
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Linux and Windows management
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Communication and collaboration
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Object-Oriented Programming (OOP)
Research
My research experience spans machine learning (ML), large language models (LLMs), and autonomous agent systems, with a core focus on the intersection of perception systems, explainable AI (XAI), and adversarial machine learning. My work centers on enabling intelligent systems to reliably perceive and interpret complex environments while developing strategies to secure them against real-world threats.
Ongoing research explores the security and robustness of camera + LiDAR fusion models in autonomous vehicles and edge-deployed AI systems. Notable contributions include the development of laser-based adversarial attack detection frameworks, improving real-time anomaly detection, and creating lightweight, efficient defense mechanisms optimized for embedded platforms.
Note: Some submitted papers are not listed due to the double-blind review process. They will be added upon acceptance.
Research Highlights
- CBMS 2020 Published "Protecting Electronic Health Records in Transit and at Rest."
- ISVLSI 2024 Published "Investigate the Effects of Laser Attack on Intelligence of the AV Perception."
- SoutheastCon 2025 Published "ReAL: Machine Learning Detection of Reflective Attacks Against Lidarometry."
- SoutheastCon 2025 Published "GNAPing On the Job: Attacking and Defending Facial Detection on Edge Devices."
- SoutheastCon 2025 Published "Towards Machine Learning Based Fingerprinting of Ultrasonic Sensors."
- ISCAS 2025 Accepted "Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator."
- FLAIRS 2025 Published "Towards Trustworthy AI: Analyzing Model Uncertainty through MC Dropout and Noise Injection."
- IEEE Access 2025 Published "Survey of Navigational Perception Sensors’ Security in Autonomous Vehicles."
- IEEE MWSCAS 2025 Accepted "Realistic GPS Spoofing Via Customized CARLA GPS Navigation and Controller Systems."
- IEEE Access 2025 Manuscript in Preparation "Blinded by the Beam: A Unified Real-Time Defense Against Laser-Based Adversarial Attacks on Autonomous Perception."
Achievements & Honors
Open-Source Contributor
2× 1st Place Research Awards
ACM & TTU Research Day
Cloud Certified - AWS, Azure, MongoDB
Honor Society Inductee
IEEE-HKN (Top 10%) & Tau Beta Pi (Top 20%)
Blog
January 25, 2025
Detecting the Odd One Out: A Guide to One-Class Classification
Imagine a scenario where a security analyst monitors a high-value corporate network. One day, an anomaly disturbs the software process,…
January 25, 2025
What Will Your Plate Look Like in 2050?
It’s a Sunday and, as usual, you make your way to the town square; no, you’re not there to submit…
January 25, 2025
How to Start with Data Science in 2020?
As we round the decade into 2020, technology has unpredictably transformed our world. To prepare our careers for the coming…
Get in Touch
- Address: Nashville, USA
- Email: abhijeet.solanki@outlook.com
Contact Form