Dharmendra Mehta | Gravity Talent Portal

Key Strengths

Extensive experience in ML Systems Design & Development, including architecting embedding models, integrating cross-encoder reranking, and productionizing RAG systems.
Strong background in ML Pipeline Engineering, covering data ingestion, preprocessing, feature engineering, training, and deployment, with optimization for speed and cost.
Deep expertise in LLM Integration & RAG Architecture, including fine-tuning foundation models, building RAG pipelines, and integrating vector databases.
Proficient in Data Engineering, with experience in ETL pipelines, document management, data deduplication, and ensuring data privacy (RBAC, multi-tenant isolation, GDPR).
Solid understanding of Cloud Infrastructure & DevOps, demonstrated by containerization with Docker, CI/CD via GitHub Actions, and monitoring with Prometheus.
Experience in Model Evaluation & Testing, including building RAG evaluation metrics (Precision@K, MRR, NDCG) and achieving high test coverage.
Leadership experience in managing microservices development, sprint planning, and technical decisions.
Projects like 'FaxiApp' and 'Investlab' showcase practical application of Generative AI, RAG pipelines, vector databases, and real-time data streaming (Kafka).

Cultural & Operational Fit

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.

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About

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)

Top Skills

MicroservicesPyTorchAgentic AiLanggraphNext.JsPostgresqlsklearnNumpyPandasScikit LearnDeep LearningMachine LearningPythonDartBack End Web DevelopmentPayment IntegrationVector DatabasesNatural Language Processing (NLP)AWS SageMakerAmazon BedrockMobile Application DevelopmentMlopsChatGPTAi SolutionsGraphqlAWS LambdaNode.JsArtificial Intelligence (AI)Apache KafkaReact.jsNode.Jssocket.ioAngularJavaScriptMobile applicationsFlaskApi DevelopmentDevOpsBashRest ApisSQLCloud ComputingLinuxObject-Oriented Programming (OOP)Software Developmentamazon-ec2Amazon S3AWS Securityaws-codepipelineTerraformFastapiMentoringTeachingTrainingOpen Source DevelopmentGitlabWordpressGraphic DesignVideo EditingDjangoDjango Rest FrameworkGitGithubTeam LeadershipSoftware ArchitectureAngularJSFlutter

Skills

Education

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

Experience

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

Projects

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.

Certifications

Cutshort Certified Django - Basic

Cutshort

June 25, 2026 – Present

IELTS

British Council

June 25, 2026 – Present

Software Architecture: Patterns for Developers

June 25, 2026 – Present

AWS Builders Online Series

Amazon Web Services (AWS)

June 25, 2026 – Present

Fundamental of HTML

Coding Ninjas

June 25, 2026 – Present

Amazon Web Services Cloud Practitioner

Amazon Web Services (AWS)

June 25, 2026 – Present

System Design

Coding Ninjas

June 25, 2026 – Present

Designing Database Solutions for Microsoft SQL Server

Coding Ninjas

June 25, 2026 – Present

Master Dart Null Safety

Udemy

June 25, 2026 – Present

Cloud Architect Associate

Udemy

June 25, 2026 – Present

Python for Beginners

Udemy

June 25, 2026 – Present

Flutter

Coding Ninjas

June 25, 2026 – Present

API Engineer

Udemy

June 25, 2026 – Present

AngularTS

Udemy

June 25, 2026 – Present

Git Basics to Advanced

Udemy

June 25, 2026 – Present

Key Strengths

Extensive experience in ML Systems Design & Development, including architecting embedding models, integrating cross-encoder reranking, and productionizing RAG systems.
Strong background in ML Pipeline Engineering, covering data ingestion, preprocessing, feature engineering, training, and deployment, with optimization for speed and cost.
Deep expertise in LLM Integration & RAG Architecture, including fine-tuning foundation models, building RAG pipelines, and integrating vector databases.
Proficient in Data Engineering, with experience in ETL pipelines, document management, data deduplication, and ensuring data privacy (RBAC, multi-tenant isolation, GDPR).
Solid understanding of Cloud Infrastructure & DevOps, demonstrated by containerization with Docker, CI/CD via GitHub Actions, and monitoring with Prometheus.
Experience in Model Evaluation & Testing, including building RAG evaluation metrics (Precision@K, MRR, NDCG) and achieving high test coverage.
Leadership experience in managing microservices development, sprint planning, and technical decisions.
Projects like 'FaxiApp' and 'Investlab' showcase practical application of Generative AI, RAG pipelines, vector databases, and real-time data streaming (Kafka).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit