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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I build scalable AI solutions for startups/enterprises: intelligent agents & apps || Generative AI , FastAPI, Django. Experience with LLMs, Deep Learning & AWS.
AI Engineer (Python,Flutter, Django, FastAPI, Django Rest Framework,Generative AI, Agentic AI, Deep Learning, Langchain.) with 6 years of experience specializing in AI development alongside mobile app and backend solutions. With a solid foundation in AI development—focused on generative models, recommendation systems, and deep learning—I also bring expertise in mobile development using Flutter and backend services with Django and FastAPI. I am skilled in deploying AI models at scale on cloud platforms like AWS, ensuring scalable, efficient solutions. I consider my strong work ethic to be my key strength. Apart from this, I have proved my responsibility and success by fulfilling the company's goals on time. Python,Flutter, Django, FastAPI, Django, Django Rest Framework,Generative AI, Agentic AI, Deep Learning, Langchain. 1. LLM Integration & AI Development (RAG, Agentic AI, LangChain, Hugging Face models for text & image generation and multimodality) 2. Custom AI Model Development (Prediction systems, recommendation systems using Deep Learning) 3. Deep Learning & Neural Networks (Training & fine-tuning AI models) 4. API Integration (GraphQL - Hasura, REST API, AI-powered endpoints) 5. AWS Bedrock (Building and deploying generative AI models) 6. AWS API Gateway (Managing API endpoints for AI services) 7. AWS SageMaker (Model training, deployment, and monitoring for AI applications) 8. Bash Scripting (Automating AI workflows & cloud deployments) 9. Flutter, Knowledge of SDLC and Architecture Approaches (MVVM, MVC),Google Maps API 10. Firebase & AWS (EC2, S3, Route 53, VPC, RDS) 11. Docker (Containerizing AI & software applications) 12. AI Model Deployment (Scaling AI models on cloud infrastructure)
Purbanchal University (PU) / पूर्वाञ्चल विश्वविद्यालय
Bachelor's degree, Computer Engineering
January 1, 2019 – August 1, 2022
Arniko College BRT
Intermediate of Science
March 1, 2016 – March 1, 2018
B.K.V.M School BRT
SEE, School Leaving Certificate
March 1, 2010 – March 1, 2016
Hexa Business
Lead AI Engineer
November 1, 2025 – Present
Kathmandu, Bāgmatī, Nepal · Hybrid
THcoders
AI/ML Engineer
June 1, 2025 – Present
Mohali district, India · Remote
Michael Surface Solutions
AI/ML Developer
June 1, 2025 – August 1, 2025
San Francisco Bay Area · Remote
Forofuse Labs
AI Engineer
April 1, 2025 – August 1, 2025
United Kingdom · Remote
ZIL
Backend/AI Engineer
March 1, 2022 – October 1, 2024
Kolkata, West Bengal, India · Remote
WEBD Inovation
Full Stack Mobile App Developer
June 1, 2018 – January 1, 2022
Gola Road, Danapur, Bihar, India · Hybrid
Attendance Management System
June 1, 2024 – July 1, 2024
Django-based web application designed to Attendance Management System. It includes features such as Authentication and Authorization, Clockins, etc.
FaxiApp(Intelligent Assistant Powered by Generative AI)
August 1, 2023 – March 1, 2024
FAXI is an AI-powered platform integrated with Faxi cards, designed to assist users across multiple aspects of life through intelligent interaction. I was responsible for implementing the Generative AI chatbot and building the supporting data infrastructure. Key Contributions: Integrated a Generative AI chatbot to provide dynamic, conversational support across domains like productivity, lifestyle, and finance. Designed and implemented a vector database (e.g., Pinecone, FAISS, or similar) to store and retrieve user data sources, including PDFs and other documents, enabling contextual and memory-aware conversations. Developed ETL processes to parse and embed user-uploaded documents into vector format for efficient semantic search. Ensured data privacy and access control within the vector retrieval pipeline. Worked on prompt engineering and context window optimization to improve AI response relevance and accuracy. This project deepened my hands-on experience with RAG pipelines, embedding models, vector search, and generative AI integration in real-world applications. Website - https://nexushorizon.fr/
Mero Ride || Ride Sharing Application
August 1, 2023 – February 1, 2024
an application that connects clients and professionals, with several services available. Our motivation has the purpose of connecting those who need it with those who know how to do it. And we want to help those in need with great commitment and helpfulness. Playstore - https://play.google.com/store/apps/details?id=com.rideshare.rideapp
Investlab || Portfolio Management, Social Media and Trade Simulation
June 1, 2023 – February 1, 2024
InvestLab, the cutting-edge mobile app that will transform your trading experience. With our comprehensive suite of features, you will gain valuable insights, track your investments effortlessly, and join a vibrant investing community. As part of the InvestLab team, I played a key role in designing and implementing a robust ETL pipeline using Apache Kafka to support real-time data ingestion, processing, and storage. This system was critical for enabling features like live trade simulations, performance tracking, and personalized insights within the mobile app. Key contributions: Built scalable Kafka-based ETL workflows to stream trade data from user activity into analytical storage. Designed data models to support investment performance tracking and social trading features. Ensured data quality and consistency across real-time and batch processing pipelines. Collaborated with backend and analytics teams to support dashboards and personalized insights using processed data. This experience deepened my expertise in streaming data architectures, data engineering best practices, and real-time analytics, all within a high-impact, production-grade mobile application. Android - https://play.google.com/store/apps/details?id=com.finance.investlab iOS - https://apps.apple.com/np/app/investlab/id6476787034 Developed by seasoned professionals with a wealth of expertise, InvestLab empowers you to effortlessly track, analyze, and gain valuable insights from your trades. Playstore - https://play.google.com/store/apps/details?id=com.finance.investlab Appstore - https://apps.apple.com/us/app/investlab/id6476787034
Movie Recommendation System
February 1, 2023 – March 1, 2023
A Machine Learning project that suggests the most similar movies based on a user-selected movie using The Movie Database (TMDB). It uses content-based filtering and natural language processing techniques to provide recommendations.
Cutshort Certified Django - Basic
Cutshort
June 25, 2026 – Present
AWS Builders Online Series
Amazon Web Services (AWS)
June 25, 2026 – Present
Amazon Web Services Cloud Practitioner
Amazon Web Services (AWS)
June 25, 2026 – Present
Flutter
Coding Ninjas
June 25, 2026 – Present
API Engineer
Udemy
June 25, 2026 – Present
System Design
Coding Ninjas
June 25, 2026 – Present
Python for Beginners
Udemy
June 25, 2026 – Present
IELTS
British Council
June 25, 2026 – Present
Software Architecture: Patterns for Developers
June 25, 2026 – Present
Fundamental of HTML
Coding Ninjas
June 25, 2026 – Present
Master Dart Null Safety
Udemy
June 25, 2026 – Present
Designing Database Solutions for Microsoft SQL Server
Coding Ninjas
June 25, 2026 – Present
Cloud Architect Associate
Udemy
June 25, 2026 – Present
AngularTS
Udemy
June 25, 2026 – Present
Git Basics to Advanced
Udemy
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from recommendation systems to generative AI assistants and ride-sharing apps, indicates a broad interest and adaptability. Their experience in various roles (Lead AI Engineer, AI/ML Engineer, Freelance Developer) and companies suggests a willingness to take on different challenges. The focus on AI/ML roles aligns well with the target role of ML Engineer. However, the listed experience dates (e.g., '2025-11-01T00:00:00.000Z' for a past role) are inconsistent with a typical career timeline, which might raise questions about the actual duration and recency of their experience. This inconsistency impacts the cultural fit score as it suggests potential issues with attention to detail or misrepresentation of experience timeline.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with cross-functional teams, communication of complex concepts, and mentoring juniors, indicating good soft skills. Their operational fit is strong given their experience in CI/CD, monitoring, and automation, which are crucial for production ML systems.