Available for opportunities

Hi, I'm Sahil Patel

Built systems serving 2M+ users with 98%+ AI accuracy

💼
1+ Years
Experience
🚀
6+
Projects
📚
2
Publications
🎓
9.35
CGPA
👥
2M+
Users Served
🎯
98%+
AI Accuracy
⚙️
50+
Technologies
🏢
125K+
Customers
About Me

Where Data Science Meets Determination

A unique blend of athletic discipline and technical expertise

I'm a passionate technologist who believes that the best solutions come from understanding both the problem and the people it affects. My journey spans from the football field to cutting-edge AI research, proving that discipline and determination transcend domains.

With a 9.35 CGPA from Charotar University of Science and Technology (CHARUSAT), I've published 2 research papers in renowned conferences while gaining hands-on industry experience at companies like Digiflux Technologies, L&T, and Motorola Solutions.

What sets me apart is my ability to bridge multiple worlds:

  • Technical Excellence: From building production-grade ML systems with LangChain and AWS to creating NLP models with 98%+ accuracy
  • Athletic Discipline: National-level football player, balancing sports and academics with equal commitment
  • Research Mindset: Published researcher with papers indexed in SCOPUS and Web of Science
  • Problem Solving: 100+ LeetCode problems solved, hackathon winner, and continuous learner

"Technical excellence without business intelligence is just an expensive hobby. Understanding the why behind what you're building transforms engineers into problem-solvers."

5+
Certifications
3
Hackathons
Sahil Patel Profile

Key Highlights

Top 10 Finalist

AI-Manthan Hackathon among 70+ teams

2 Publications

Springer ICTIS & AIP ICRAIC 2024

Team Star Award

Digiflux Technologies 2024

National Athlete

CHARUSAT Football Team

B.Tech Computer Engineering

Charotar University of Science and Technology (CHARUSAT)

2020 - 2024CGPA: 9.35/10

Academic Highlights:

  • Published 2 research papers in Springer and AIP conferences
  • Member of CHARUSAT Football Team (2022, 2023)
  • Core Team Member - CLDC AI/ML Division
  • Participated in National West Zone Inter-University Football Tournament
  • Presented papers at ICTIS 2024 and ICRAIC 2024 conferences

Currently Building

Working on production-grade AI/ML systems at Digiflux Technologies, integrating LLMs, deploying scalable solutions on AWS, and exploring the intersection of AI with real-world business problems.

Experience

Professional Journey

1+ years of industry experience across AI/ML, Full Stack Development, and Cloud Computing

Associate Software Engineer

Digiflux Technologies Pvt Ltd • Vadodara, India

Jan 2024 – Present
  • Built production-grade AI systems serving 2M+ users across FinTech, FoodTech, and HealthTech domains
  • Developed 50+ AWS Lambda scrapers for FinTech platform automating data collection and processing
  • Engineered meal subscription chatbot supporting 125K+ customers with 90%+ AI accuracy using LangChain
  • Implemented sales forecasting model achieving 93.17% accuracy using CNN+LSTM hybrid architecture
  • Created HealthTech management platform improving operational efficiency by 40% for 44K+ workers
  • Built responsive React Native application with seamless user experience
  • Received Team Star Award for outstanding contribution and performance
  • Deployed ML applications using LangChain, OpenAI, AWS Sagemaker, and Docker
PythonReact.jsReact NativeLangChainOpenAIAWS SagemakerAWS LambdaDockerMongoDBNext.jsCNNLSTM

Python Developer (AI-ML) Intern

Digiflux Technologies Pvt Ltd • Vadodara, India

Aug 2023 – Dec 2023
  • Focused on learning and implementing end-to-end ML applications
  • Gained hands-on experience with Python, LLMs, Langchain, OpenAI, Sagemaker, Docker
  • Deepened understanding of AI-ML workflows and contributed to real-world projects
  • Adapted to corporate culture and collaborated with experienced professionals
PythonLangChainOpenAIAWS SagemakerDockerMachine Learning

Web Development Intern

Larson & Toubro Technology Services • Vadodara, India

May 2023 – July 2023
  • Designed and implemented web request forms for client interactions
  • Streamlined client interactions and data collection using C# and JavaScript
  • Worked with ASP.NET MVC and ASP.NET Core frameworks
  • Collaborated with skilled professionals and gained practical industry insights
C#JavaScriptASP.NET MVCASP.NET CoreSQLHTML/CSS

Machine Learning Intern

Larson & Toubro Energy-Power • Vadodara, India

May 2022 – June 2022
  • Developed AI Chatbots using RASA framework
  • Worked on NLP and conversational AI projects
  • Applied machine learning concepts to real-world problems
  • Gained experience in Python and NLP libraries
PythonRASANLPMachine LearningASP.NET

Internship Trainee

Motorola Solutions • Bangalore, India

May 2022 – Nov 2022
  • MEAN Stack Developer Role and Elective Course Proficiency
  • Specialized in Node, Express, Angular, SQL
  • Covered wide range of technologies in front-end and back-end development
  • Participated in design reviews, group discussions, and collaborative projects
AngularNode.jsExpressSQLMongoDBJavaScriptTypeScript
5
Professional Positions
3
Top Companies
1+
Years Experience
Skills & Technologies

Tech Stack

50+ technologies across AI/ML, Full Stack Development, Cloud, and more

🔤
Languages

Python
Proficiency: 90%
JavaScript
Proficiency: 85%
TypeScript
Proficiency: 85%
C/C++
Proficiency: 75%
C#
Proficiency: 70%
SQL
Proficiency: 80%
HTML/CSS
Proficiency: 90%

⚛️
Frameworks & Libraries

Next.js
Proficiency: 85%
React
Proficiency: 85%
Angular
Proficiency: 75%
Node.js
Proficiency: 80%
Express
Proficiency: 80%
LangChain
Proficiency: 85%
TensorFlow
Proficiency: 80%
Scikit-learn
Proficiency: 85%
Pandas
Proficiency: 90%
NumPy
Proficiency: 90%
Matplotlib
Proficiency: 80%
.NET
Proficiency: 70%
ASP.NET MVC
Proficiency: 70%
Tailwind CSS
Proficiency: 90%
Material-UI
Proficiency: 75%
Framer Motion
Proficiency: 80%

🤖
AI/ML & Data Science

Machine Learning
Proficiency: 90%
Deep Learning
Proficiency: 85%
Natural Language Processing
Proficiency: 85%
Computer Vision
Proficiency: 80%
BERT
Proficiency: 80%
LSTM/Bi-LSTM
Proficiency: 80%
CNN
Proficiency: 85%
YOLOv8
Proficiency: 75%
Time Series Analysis
Proficiency: 80%
LLMs
Proficiency: 85%
OpenAI API
Proficiency: 85%

☁️
Cloud & DevOps

AWS Sagemaker
Proficiency: 80%
AWS Lambda
Proficiency: 75%
DynamoDB
Proficiency: 75%
CloudWatch
Proficiency: 70%
Docker
Proficiency: 80%
Git
Proficiency: 85%
GitHub Actions
Proficiency: 75%

💾
Databases

MongoDB
Proficiency: 85%
PostgreSQL
Proficiency: 80%
SQL Server
Proficiency: 75%
Firebase
Proficiency: 70%

🛠️
Tools & Platforms

VS Code
Proficiency: 90%
Jupyter Notebook
Proficiency: 90%
Power BI
Proficiency: 75%
Postman
Proficiency: 80%
Figma
Proficiency: 65%
Expert (90%+)
Advanced (80-89%)
Intermediate (70-79%)
Developing (60-69%)
Projects

Featured Work

Repos, research builds, and experiments—deeper production narratives live in Case Studies above

🤖 ML/AIFeatured

Lip Reading Word Classification & Fruit Detection

Developed a CNN-based lip-reading model achieving 93% training accuracy and built a mobile app for fruit & vegetable classification with 88% accuracy.

Training Accuracy
93%
Validation Accuracy
53%
Fruit Detection Accuracy
88%
Dataset Size
3,115 images
PythonCNNFlutterDeep LearningTensorFlowComputer Vision+1
🤖 ML/AIFeatured

Meal Subscription Chatbot & Sales Forecasting

Designed an AI chatbot for meal subscriptions using LangChain and built a sales forecasting model with 93.17% accuracy using CNN+LSTM.

Forecast Accuracy
93.17%
Models Used
4+
Deployment
AWS Sagemaker
Next.jsLangChainOpenAIPythonMongoDBCNN+7
📚 ResearchFeatured

Pre-Exam Question Paper Quality Test

Developed an AI-driven system to categorize and score exam papers, achieving 98.04% accuracy using advanced NLP techniques.

Accuracy
98.04%
Dataset Size
2,809 instances
Publication
Springer ICTIS 2024
PythonBERTLSTMBi-LSTMNLPDeep Learning+5
🌐 Web

Tuition Classes Management System (VCC POINT)

Engineered a comprehensive web app for student, faculty, and admin management with secure authentication and optimized workflows.

User Roles
3
Features
15+
TypeScriptAngularNode.jsMongoDBExpressCSS+3
📚 ResearchFeatured

Small Bird Detection in Aerial Imagery

Enhanced small object detection using YOLOv8 architecture for aerial imagery, published in AIP ICRAIC 2024 conference.

Publication
AIP ICRAIC 2024
Models Tested
3 YOLOv8 variants
Indexing
Scopus, Web of Science
PythonYOLOv8Computer VisionDeep LearningObject DetectionResearch+1
🤖 ML/AIFeatured

ForeSight - IT Project Risk Prediction

Built an enterprise-grade ML-powered platform for predicting operational risks in IT projects. Top 10 finalist at AI-Manthan Hackathon by AtliQ Technologies.

Development Time
24 hours
Achievement
Top 10/70+
Team
Team Innovatrix
PythonFastAPINext.js 15PostgreSQLdbtDocker+3

More Projects on GitHub

Explore my complete portfolio of open-source projects, contributions, and experiments

Research Publications

Published Research

Peer-reviewed research papers published in renowned conferences, indexed in SCOPUS and Web of Science

First Author | SCOPUS Indexed
April 2024

Revolutionizing Educational Assessment: Deep Learning for Question Paper Quality Evaluation

Springer Nature - ICTIS 2024

Published in Springer LNNS series (Lecture Notes in Networks and Systems). Indexed by SCOPUS, EI Compendex, INSPEC, zbMATH, and SCImago. First author contribution.

Key Highlights:

  • First author contribution demonstrating leadership in research
  • Published in Springer LNNS series (Lecture Notes in Networks and Systems)
  • Indexed in SCOPUS, EI Compendex, INSPEC, zbMATH, and SCImago
  • Presented at ICTIS 2024 conference in Ahmedabad
  • Achieved 98.04% accuracy on 2,809 question paper instances
  • Utilized advanced NLP techniques including BERT and Bi-LSTM
SCOPUSEI CompendexINSPECzbMATHSCImagoSpringer
Co-author | Web of Science
May 2024

Enhancing Small Object Detection in Aerial Imagery Using YOLOv8 Architecture

AIP Conference Proceedings - ICRAIC 2024

Published in AIP Conference Proceedings (Volume 3255, Issue 1, 2025). Presented at International Conference on Robotics, Automation, and Intelligent Computing. Indexed in SCOPUS and Web of Science.

Key Highlights:

  • Published in AIP Conference Proceedings (Volume 3255, Issue 1, 2025)
  • Indexed in SCOPUS and Web of Science for global visibility
  • Addressed challenging small object detection in aerial imagery
  • Benchmarked multiple YOLOv8 variants (yolov8n, yolov8m, yolov8x)
  • Contributed to avian ecology and drone surveillance applications
  • Presented at International Conference on Robotics, Automation, and Intelligent Computing
SCOPUSWeb of ScienceAIPConference Proceedings
2
Publications
2
Conferences
1
First Author
2024
Latest

Research Interests

Educational TechnologyDeep LearningNatural Language ProcessingComputer VisionObject DetectionQuestion Paper AnalysisBloom's TaxonomySmall Object DetectionYOLOv8BERTLSTMMachine Learning in Education
Achievements

Awards & Recognition

20+ achievements across awards, certifications, hackathons, and national sports

June 2024

Team Star Award

Digiflux Technologies

Recognized at the first Annual Townhall for outstanding contributions, dedication, and performance across multiple projects over nine months.

9 months of excellence
January 2025

Top 10 Finalist - AI-Manthan Hackathon

AtliQ Technologies

Selected as Top 10 finalist among 70+ teams for building ForeSight, an enterprise-grade ML-powered operational risk prediction system for IT projects.

Top 10 out of 70+ proposals
January 2025

B.Tech Graduation with 9.35 CGPA

CHARUSAT - 14th Convocation

Graduated with distinction in Computer Engineering (9.35 CGPA) from Charotar University of Science and Technology.

CGPA: 9.35/10
April 2024

Revolutionizing Educational Assessment: Deep Learning for Question Paper Quality Evaluation

Springer Nature - ICTIS 2024

Published in Springer LNNS series (Lecture Notes in Networks and Systems). Indexed by SCOPUS, EI Compendex, INSPEC, zbMATH, and SCImago. First author contribution.

First Author | SCOPUS Indexed
May 2024

Enhancing Small Object Detection in Aerial Imagery Using YOLOv8 Architecture

AIP Conference Proceedings - ICRAIC 2024

Published in AIP Conference Proceedings (Volume 3255, Issue 1, 2025). Presented at International Conference on Robotics, Automation, and Intelligent Computing. Indexed in SCOPUS and Web of Science.

Co-author | Web of Science
2024

NVIDIA Certified Professional

NVIDIA

Certified in AI and Deep Learning fundamentals by NVIDIA.

1x NVIDIA Certified
November 2023

Google Cloud Computing Foundations

Google Cloud Study Jam 2023

Completed 8 badges covering infrastructure, networking, data, ML, security, storage, and cloud resource management on Google Cloud Platform.

8 Badges Earned
December 2022

Cloud Engineer Learning Path

Google Cloud Career Practitioners 2022

Completed Cloud Engineer Learning Path with hands-on labs covering Google Cloud infrastructure, storage, and networking.

December 2023

NPTEL Cloud Computing (Elite Certificate)

IIT Kharagpur

Completed 12-week Cloud Computing course with 66% score (Elite Certificate). Covered cloud architecture, service management, security, and cutting-edge research including Fog Computing.

Elite Certificate | 66% Score
October 2023

AWS Cloud Practitioner

CHARUSAT - AWS Academy

Successfully completed AWS Certified Cloud Practitioner course and passed university-level exam covering cloud fundamentals.

2023

LeetCode 100 Days Badge

LeetCode

Achieved 100 Days Badge by solving problems consistently for 100+ days in 2023. Demonstrates dedication to competitive programming and problem-solving.

100+ Days Streak
December 2022

Indian Symposium on Machine Learning (IndoML)

IIT Gandhinagar

Attended the third edition of IndoML hosted by IIT Gandhinagar. Engaged with leading research groups and experts, gaining invaluable perspectives on ML research.

April 2024

Paper Presentation at ICTIS 2024

Renaissance Hotel, Ahmedabad

Presented research paper on "Deep Learning for Question Paper Quality Evaluation" at the 8th International Conference on Information and Communication Technology for Intelligent Systems.

May 2024

Paper Presentation at ICRAIC 2024

RAME (Online)

Presented research on "Small Bird Detection using YOLOv8" at the Second International Conference on Robotics, Automation, and Intelligent Computing.

March 2022

Azadi Ka Amrit Mahotsav Hackathon

Education Department, Govt. of Gujarat

Participated in National Level Hackathon hosted by CHARUSAT. Developed a Chatbot for GTU using RASA, Flutter, and Firebase in 36-hour marathon.

36-hour Hackathon
January 2023

Maker Fest Vadodara 2023

Yuvalay MakerSpace & Vadodara Innovation Council

Volunteered as content writer, interviewing and documenting innovations by makers and enthusiasts. Co-hosted by The Maharaja Sayajirao University of Baroda.

2023

AI/ML Core Team Member

CLDC - CHARUSAT Learning And Development Club

Selected as AI/ML core team member in student-led organization providing corporate culture environment and developing crucial skills for future careers.

2023

CHARUSAT Football Team - National Tournament

National West Zone Inter-University Football Tournament

Represented CHARUSAT at the National West Zone Inter-University Football Tournament 2023, balancing sports excellence with academic achievements.

National Level
2022

CHARUSAT Football Team - National Tournament

National West Zone Inter-University Football Tournament

Represented CHARUSAT at the National West Zone Inter-University Football Tournament 2022.

National Level
5
Awards & Recognition
2
Publications
5
Certifications
2
Hackathons
4
Events & Conferences
1
Badges

Most Recent Achievement

Top 10 Finalist - AI-Manthan Hackathon

Built ForeSight: Enterprise ML-powered risk prediction system for IT projects

January 2025 • Top 10 out of 70+ teams
Get in Touch

Let's Connect

Open to opportunities, collaborations, and interesting conversations

Currently Available

Open to opportunities • Typically responds within 24 hours

Contact Information

Email

patelsahil2k03@gmail.com

Phone

+91 7874337475

Location

Vadodara, Gujarat, India

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Looking for opportunities? I'm currently exploring roles in AI/ML Engineering, Full Stack Development, and Data Science. Feel free to reach out!