Hrishikesh Dutta — Product Engineer

Portfolio : https://hrishikesh007788.github.io/portfolio/ 🚀 **About Me: Hrishikesh Dutta - AI Enthusiast & MEAN Stack Developer** Welcome! I'm Hrishikesh Dutta, a passionate professional in Artificial Intelligence (AI) and MEAN stack development. 🛠️ **Professional Background:** As an **Associate BI Developer at Adobe**, I contribute to the Elixir project, showcasing my MEAN stack development skills. During my Adobe internship, I led a team in developing SalesHub, a live report management site, implementing ML algorithms for report recommendations. At **Incipient Technologies Pvt. Ltd.**, I enhanced machine learning and computer vision capabilities, focusing on image classification and object detection. 💡 **Key Skills:** - MEAN stack development - MSSQL, Agile, Scrum - Cross-functional collaboration 🚀 **Highlighted Projects:** **GenInsight:** Developed an intuitive data analysis app using GenAI, recognized in the top 5 ideas at Adobe. **DataSense:** Implemented GenAI for diverse business cases, reducing document search time through Langchain. **COVID-19 Detector:** Built a Deep Learning model predicting Covid-19 infection with 98.33% accuracy on chest X-Ray images. 🎓 **Education:** - **B.Tech in Computer Science and Engineering** NIT Silchar | CGPA: 8.14/10 - **Higher Secondary** Vivekananda Kendra Vidyalaya | 91.8% 🏆 **Awards & Certifications:** - Top 5 in GenAI Smart-o-thon (Adobe, 2023) - Google Data Analytics & IBM Data Science Certifications - Deep Learning Specialization 🌐 **Interests:** Beyond tech, I enjoy arm wrestling and strategic chess moves, bringing a balance of strength, intellect, and financial savvy. Let's connect! 🔗 #AI #MEANstack #DataScience #Innovation Open to collaborations, networking, and tech discussions. Excited about AI and tech opportunities! 🚀

Stackforce AI infers this person is a Machine Learning and Full-Stack Development professional in the SaaS industry.

Location: Golaghat, Assam, India

Experience: 2 yrs 11 mos

Skills

Machine Learning
Full-stack Development
Data Science

Career Highlights

Developed a top 5 GenAI project at Adobe.
Built a COVID-19 detection model with high accuracy.
Led a team to create a live report management site.

Work Experience

Adobe

Associate BI Developer (2 yrs 11 mos)

BI Developer Intern (2 mos)

iNeuron.ai

Data Science Intern (1 mo)

Education

Bachelor of Technology - BTech at National Institute of Technology Silchar

Hrishikesh Dutta

Product Engineer

Golaghat, Assam, India2 yrs 11 mos experience

Highly Stable

Key Highlights

Developed a top 5 GenAI project at Adobe.
Built a COVID-19 detection model with high accuracy.
Led a team to create a live report management site.

Stackforce AI infers this person is a Machine Learning and Full-Stack Development professional in the SaaS industry.

Contact

Skills

Core Skills

Machine LearningFull-stack DevelopmentData Science

Other Skills

report management applicationrecommendation enginepredictive modelingdata analysisMicrosoft ExcelPython (Programming Language)MySQLFront-end DevelopmentResponsive Web DesignWeb DesignAnalytical SkillsProject ManagementUser Experience (UX)DesignVideo Editing

About

Experience

2 yrs 11 mos

Total Experience

2 yrs 11 mos

Average Tenure

2 yrs 11 mos

Current Experience

Adobe

2 roles

Associate BI Developer

Jul 2023 – Present · 2 yrs 11 mos · Noida, Uttar Pradesh, India

BI Developer Intern

May 2022 – Jul 2022 · 2 mos

Contributed building a report management application from scratch.
Features include report accessing, sharing, searching, bookmarking, displaying crucial KPIs, chatbot and many more.
Built a customized recommendation engine to suggest top reports based on implicit and explicit inputs within a user's cohort.

report management applicationrecommendation enginemachine learningMachine LearningFull-Stack Development

Ineuron.ai

2 roles

Data Science Intern

Oct 2021 – Nov 2021 · 1 mo · Bengaluru, Karnataka, India

A Machine Leaning end to end project where the objective is to predict the compressive strength of a concrete structure, given the amount of its ingredients used and the age of the structure.
Motivation : It usually takes up-to 28 days to practically measure the compressive strength of a structure but with the help of past data and machine learning techniques, we can come up with a number accurate enough without having to do the testing which saves a lot of time, effort and resources.

predictive modelingmachine learningdata analysisMachine LearningData Science