Help & Supportcareers@gravityer.com
AI Engineer with 1+ years in LLMs & 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
AI Engineer with 2+ years of experience building production-ready AI (OCR, voice assistants, text-to-video). Skilled in LLMs, RAG, FastAPI, and computer vision. Passionate about turning research into scalable solutions. Author of 3 IEEE/Journal & conference papers.
East West University
BSc in CSE · Data Science
August 1, 2020 – June 30, 2024
SM Technology
AI Engineer
December 1, 2024 – Present
Dhaka, Dhaka Division, Bangladesh
Designers Do Futuro
Data Science Intern
August 1, 2023 – January 1, 2024
Dhaka, Dhaka Division, Bangladesh
AKKORD
December 1, 2024 – Present
The OCR system extracts key contract details such as risk, summary, ownership, payment issues, termination conditions, financial terms, missing protections, and unusual clauses. It also includes a chat feature to ask related questions.
MANIFEX
December 1, 2024 – Present
It's a based paragraph evaluator that checks sentence structure and word usage, assigning marks based on accuracy. The user provides a paragraph topic, and the AI suggests a list of required keywords that must be included in the paragraph.
Youimah
December 1, 2024 – Present
Uses Google VEO3 for text-to-video generation. The system can add background music, and characters are able to talk.
DONNA LIFE
December 1, 2024 – Present
It is an AI voice assistant that helps you manage tasks hands-free using natural voice commands. It uses FastAPI and OpenAI models to create tasks, answer schedule questions, and offer smart, contextual assistance.
GREETELY
December 1, 2024 – Present
Based on the user's selected department, categories, tone of values, and employee recognition criteria, the system generates a concise email for the specified recipient and automatically sends it.
HOMEWRK
December 1, 2024 – Present
The OCR system processes the uploaded document and automatically extracts details such as property address, parcel ID, zone, property type, vacancy status, and a short description. It also includes a chat feature for related queries.
PR3DETOR FITNESS
December 1, 2024 – Present
The AI system can recommend different types of gyms and include YouTube tutorial videos on how to perform exercises. It also provides a private chat system, available for premium subscribers.
Edimedia
December 1, 2024 – Present
An AI assistant that accepts images from social media (Messenger, Instagram, LinkedIn, and dating apps) and generates intelligent, context-aware replies to help users respond appropriately and effortlessly.
DTFJUNKIE
December 1, 2024 – Present
Performs image enhancement, background removal, and automatic trimming using advanced image-processing algorithms.
CREATEX
August 1, 2023 – February 1, 2024
It allows users to provide a short story idea and a child's character image as input. The AI expands the story, creates consistent characters, and generates engaging illustrations for a 25-page storybook: 1 cover page, 22 story pages, and 2 drawing pages.
Weather Impact on NYC Subway
August 1, 2023 – February 1, 2024
Rainfall classification using multiple machine learning models to analyze patterns and improve prediction accuracy.
Predicting User Churn in Waze
August 1, 2023 – February 1, 2024
A machine learning-based approach for enhancing user retention strategies through data analysis, data preprocessing, and data visualization.
TikTok Data Visualization
August 1, 2023 – February 1, 2024
A comprehensive visualization of TikTok data with proper data cleaning and preprocessing. The project focuses on transforming raw data into clear, insightful, and meaningful visual analytics.
FairFare
August 1, 2023 – February 1, 2024
NYC TLC's Advanced Fare Estimation App by Automatidata focuses on training multiple machine learning models. The system evaluates their performance and selects the best-performing model for accurate fare prediction.
INTRICATE
August 1, 2023 – February 1, 2024
It is an AI system that evaluates paragraphs by analyzing grammar, sentence structure, and keyword usage. It suggests topic-relevant keywords and scores writing based on accuracy, relevance, and proper language use.
ShrimpXNet: A Transfer Learning Framework for Shrimp Disease Classification with Augmented Regularization, Adversarial Training, and Explainable AI
3ICT Conference
January 1, 2025 – Present
Revisiting ONE Simulator in IoV Research: Seeing the Forest Through the Trees
IEEE Access Journal
January 1, 2025 – Present
SFiNNet: Leveraging Transfer Learning and Explainable AI for Automated Small Fish Classification Enhanced via Adversarial Training and Augmented Regularization
(ICCIT) Conference
January 1, 2025 – Present
6th Place Robi Datathon 3.0 Qualifier
Robi
January 1, 2024 – Present
Deep Learning Models for Classification of Red Blood Cells in Microscopy Images for Anemia Diagnosis
COMPAS Conference
January 1, 2024 – Present
Best Campus Ambassador of Robo Tech Valley
Robo Tech Valley
May 1, 2020 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a broad interest in various AI applications, from social media assistants to industrial OCR systems and fitness recommendations. This diversity suggests an open-minded approach to problem-solving and a willingness to explore different domains, which can be a positive indicator for cultural fit in an innovative environment. The participation in a datathon and authorship of research papers also indicate a proactive and learning-oriented mindset. However, without direct interaction or behavioral assessment, a comprehensive cultural fit analysis is limited.
Soft Skills & Operational Fit
The candidate's resume highlights a strong technical foundation and a passion for turning research into scalable solutions. The diverse range of projects indicates adaptability and a problem-solving mindset. However, the provided data does not offer specific insights into soft skills such as teamwork, leadership, or conflict resolution, nor does it detail operational fit beyond technical capabilities. The project descriptions are clear, but lack details on challenges faced or specific contributions, which could provide more insight into operational effectiveness.