Open to opportunities

Mani Jain

@manijain

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AI-ML software engineer building and deploying production ML models with Python, TensorFlow, and scalable pipelines.

India

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What I'm looking for

I'm seeking an entry-level ML role where I can build and deploy models, collaborate cross-functionally, and grow my technical skills in ethical, scalable AI.

I am a B.Tech (AI) student and AI-ML software engineer skilled in Python, TensorFlow, Keras, and SQL, focused on building and deploying production-ready ML models. I designed and deployed a CNN-based Plant Recognition system, improving model accuracy from 36% to 94% through iterative tuning, regularization, and careful data preprocessing.

I have led teams and managed hackathon logistics and technical events, blending hands-on engineering with leadership and communication. I prioritize reproducibility, ethical AI practices, and scalable deployments using tools like Render and Netlify to bring models into production.

Experience

Work history, roles, and key accomplishments

Management & Design Lead

Hack Celestia

Jan 2025 - Present (1 year 5 months)

Led design and logistics for a 48-hour hackathon (Hack Celestia 2025), creating visual assets, coordinating contestants and social media, and organizing industry workshops and registrations.

Visual Design Canva Event Management Logistics Social Media Team Leadership

Executive, Logos Society

Logos Literary & Debating Society

Organized debates, group discussions, and weekly intra-club activities to enhance public speaking and critical thinking; managed logistics, content planning, and team coordination to deliver events on schedule.

Event Management Public Speaking Team Leadership Logistics Content Planning Coordination Social Media

Education

Degrees, certifications, and relevant coursework

Banasthali Vidyapith

Bachelor of Technology, Computer Science (AI)

2022 -

Grade: 9.1

Activities and societies: PlantPedia – Plant Recognition System (https://plant-recognition-model.netlify.app/): developed a TensorFlow/Keras CNN, hosted backend on Render and frontend on Netlify.

Pursuing Bachelor of Technology in Computer Science (AI) with a CGPA of 9.1. Designed and deployed a CNN-based PlantPedia recognition system, improving model accuracy from 36% to 94%.