INDEX // 01 — ARCHITECTURAL PROFILE

Engineering Fine-Tuned AI Models
& Systems Pipelines.

I am Laxman Sharma, an AI/ML & Data Systems Engineer specializing in PyTorch NLP fine-tuning at eSewa Ltd, high-throughput FastAPI/Django backends, and automated Apache Airflow ETL workflows.

MODEL FINE-TUNING
PyTorch / BLOOM / BERT
BACKEND & SAAS
FastAPI & Django 4.2
ORCHESTRATION
Apache Airflow & MinIO
SYSTEM_PIPELINE_INDEX.DATVERIFIED
[01] NLP MODEL ENGINEeSewa Internship
BHASABODH AI Translation
Fine-tuned BLOOM/BERT variants for Romanized-to-Devanagari translation with BLEU metric validation loop.
[02] SAAS BACKEND PLATFORMLive Production
EDUHUB Global Education Portal
Django 4.2 + PostgreSQL hosted on Nest Nepal VPS with Nginx reverse proxy and Uvicorn.
[03] ETL ORCHESTRATIONDlytica Internship
Apache Airflow DAG Storage Pipeline
Automated data extraction & MinIO object storage workflows with Docker task runners.
Sunway College Kathmandu (BSc 2025)100% Facts
INDEX // 02 — SELECTED WORK

Featured Engineering Projects

Real systems built with verified evidence—spanning production NLP models, live Django SaaS platforms, Streamlit diagnostics, and automated Airflow data pipelines.

PROJECT [01]ai-ml
BHASABODH — AI Translation & QA System

BHASABODH — AI Translation & QA System

Bidirectional Devanagari ↔ Romanized Nepali Transformer Pipeline

Fine-tuned custom BLOOM and BERT transformer variants to translate Romanized Nepali into formal Devanagari. Built a BLEU-evaluated inference optimization pipeline and integrated the model into a FastAPI web interface with interactive QA capability.

PyTorchTransformersBLOOM / BERTFastAPIBLEU MetricTailwind CSS
TECHNICAL PARAMETERS
Model ArchitectureTransformer BLOOM/BERT
Evaluation MetricBLEU Score Pipeline
Inference BackendFastAPI Async
Category: ai-ml
PROJECT [02]backend-web
EDUHUB Global Education Portal
LIVE PRODUCTION

EDUHUB Global Education Portal

Production University & Scholarship Discovery Platform

Designed, built, and deployed a live Django 4.2 SaaS application helping students discover international universities and scholarships. Hosted on VPS with PostgreSQL, Nginx, Uvicorn, and comprehensive SEO optimization.

PythonDjango 4.2PostgreSQLNest Nepal VPSNginxUvicornSEO
TECHNICAL PARAMETERS
DatabasePostgreSQL Production
Web ServerNginx + Uvicorn VPS
StatusLive Production
Category: backend-web
PROJECT [03]ai-ml
Heart Disease Prediction System
LIVE PRODUCTION

Heart Disease Prediction System

Clinical Parameter ML Classification Dashboard

Developed an ML risk assessment application using scikit-learn classification algorithms to evaluate clinical patient parameters. Deployed live with an interactive Streamlit frontend for real-time risk predictions.

PythonScikit-learnStreamlitPandasNumPyML Classification
TECHNICAL PARAMETERS
AlgorithmScikit-Learn Classifier
UI FrameworkStreamlit Interactive
DeploymentStreamlit Cloud [LIVE]
Category: ai-ml
PROJECT [04]data-engineering
Automated ETL & Data Orchestration Pipeline

Automated ETL & Data Orchestration Pipeline

Apache Airflow & MinIO Object Storage Workflow

Architected and executed automated ETL DAG pipelines using Apache Airflow. Integrated MinIO for object storage and Docker for containerized task execution to automate real-time data extraction and processing.

Apache AirflowMinIOPythonDockerETL PipelinesPostgreSQL
TECHNICAL PARAMETERS
OrchestratorApache Airflow DAGs
StorageMinIO Object Storage
EnvironmentDocker Containerized
Category: data-engineering
PROJECT [05]backend-web
E-Commerce Product Aggregator

E-Commerce Product Aggregator

Multi-Platform Price Intelligence & Comparison Platform

Built a full-stack e-commerce aggregator enabling users to search, track historical price trends, and compare products across major platforms. Implemented automated price tracking via web scraping engines.

DjangoSeleniumTailwind CSSPostgreSQLPython
TECHNICAL PARAMETERS
Architected and verified with strict software engineering standards.
Category: backend-web
PROJECT [06]mobile-automation
Daraz E-Commerce Web Scraper

Daraz E-Commerce Web Scraper

Automated Product Data Extractor & Pipeline

Developed an automated scraping tool using Selenium and Requests to extract dynamic product listings, prices, user ratings, and details from Daraz, generating structured dataset outputs with Pandas.

PythonSeleniumPandasRequestsData Mining
TECHNICAL PARAMETERS
Architected and verified with strict software engineering standards.
Category: mobile-automation
PROJECT [07]backend-web
Social Media Full-Stack Application

Social Media Full-Stack Application

Django Social Network with Real-Time Interactions

Created a full-featured social platform supporting user authentication, status and media posts, real-time comments, likes/unlikes, and follower graph management.

DjangoTailwind CSSSQLiteAuthentication
TECHNICAL PARAMETERS
Architected and verified with strict software engineering standards.
Category: backend-web
PROJECT [08]mobile-automation
Flutter-Firebase Blog Application

Flutter-Firebase Blog Application

Cross-Platform Mobile App with Real-Time Data Sync

Built a mobile blog application utilizing Flutter for cross-platform UI, paired with Firebase Authentication and Cloud Firestore for real-time document CRUD operations.

FlutterFirebase AuthFirestoreDart
TECHNICAL PARAMETERS
Architected and verified with strict software engineering standards.
Category: mobile-automation
INDEX // 03 — CAREER HISTORY

Work Experience & Engineering Internships

Direct industry experience fine-tuning NLP transformer models at Nepal's premier digital wallet platform (eSewa) and engineering automated Airflow data pipelines (Dlytica).

EXP [01] // Internship

eSewa Ltd

AI/ML Engineering Intern

Kathmandu, Nepal (Leading Digital Wallet Platform)

Nov 2024 – Mar 2025

Worked with the R&D team at Nepal’s premier digital payment platform to build BHASABODH, an intelligent Romanized-to-Devanagari translation model and QA assistant.

Engineering Deliverables:
  • Contributed to training, fine-tuning, and evaluating transformer-based NLP models (BLOOM and BERT variants) on custom language datasets.
  • Implemented BLEU score evaluation metrics, data cleaning pipelines, and inference throughput optimization techniques.
  • Integrated the fine-tuned translation engine into a high-performance FastAPI web backend paired with a Tailwind CSS frontend.
  • Collaborated closely with R&D engineers to test model accuracy and iterate on real-time translation response times.
PyTorchTransformersBLOOM / BERTFastAPIBLEU MetricsTailwind CSSPython
EXP [02] // Internship

Dlytica Inc. Pvt. Ltd

Data Engineering Intern

Kathmandu, Nepal

Jul 2024 – Nov 2024

Completed an intensive data engineering program focused on cloud data warehousing, distributed ETL pipelines, and workflow automation.

Engineering Deliverables:
  • Developed and scheduled Apache Airflow DAGs for automated workflow management and data ingestion pipelines.
  • Utilized MinIO object storage for scalable, S3-compatible data lake storage during transformation jobs.
  • Gained hands-on experience in cloud platform configuration, database performance tuning, and structured data warehousing.
  • Engineered automated Python scripts for cleaning, transforming, and loading high-volume analytics datasets.
Apache AirflowMinIOPythonETLDockerPostgreSQLData Lakes
INDEX // 04 — CAPABILITY MATRIX

Technical Stack & Core Competencies

Organized strictly by evidence from real deployed projects and internships—no arbitrary percentage bars.

CAT [01]

AI / ML & NLP Engineering

Specialized in fine-tuning transformer models, NLP tokenizers, classification algorithms, and ML pipelines.

PyTorch & TransformersPrimary
BERT / BLOOM ModelsPrimary
Scikit-learnPrimary
Pandas & NumPyPrimary
BLEU Evaluation & NLP PipelinesProficient
TensorFlowWorking Knowledge
CAT [02]

Backend Systems & API Architecture

Architecting fast, async microservices and monolithic web applications with robust database models.

Python (Advanced)Primary
FastAPIPrimary
Django 4.2Primary
RESTful API DesignPrimary
FlaskProficient
Uvicorn / Gunicorn / NginxProficient
CAT [03]

Data Engineering & Cloud Storage

Orchestrating automated ETL pipelines, data warehousing, object storage, and relational databases.

Apache Airflow (DAGs)Primary
PostgreSQL & MySQLPrimary
MinIO (S3-Compatible Storage)Proficient
Docker & ContainerizationProficient
ETL Pipeline DesignProficient
MongoDB & RedisWorking Knowledge
CAT [04]

Automation, Scraping & Tooling

Building automated data collectors, cross-platform apps, and developer workflows.

Selenium & Web AutomationPrimary
Git & Version ControlPrimary
Linux / VPS Management (Nest Nepal)Proficient
Streamlit & Rapid PrototypingProficient
JavaScript & TypeScriptProficient
Flutter & FirebaseWorking Knowledge
Laxman Sharma
Sunway College Kathmandu
Bachelor of Computer Science (Honours) (March 2025)
Certified Python Developer — Sunway College Kathmandu
INDEX // 05 — PHILOSOPHY & JOURNEY

Building AI & Data Systems with Rigor & Discipline

My engineering focus centers on bridging machine learning research with scalable backend architectures. Graduating with a Computer Science degree (BSc Hons, March 2025) from Sunway College Kathmandu provided me with a strong foundation in algorithms, databases, and software design.

During my internship at eSewa Ltd (Nepal's leading digital wallet platform), I contributed directly to R&D by fine-tuning BLOOM and BERT models for Romanized-to-Devanagari translation. That hands-on project reinforced my belief that production ML relies on meticulous data pipelines, robust BLEU score benchmarking, and low-latency API optimization.

Whether orchestrating Apache Airflow DAGs at Dlytica or deploying production Django SaaS platforms on Linux VPS servers, I focus on building clean, verifiable code that solves explicit problems.

Kathmandu, Nepal
Location & Timezone (GMT+5:45)
10+ Deployed Projects
Production SaaS & Open Source
INDEX // 06 — CONTACT TERMINAL

Start a Conversation

Open for remote backend engineering roles, AI model fine-tuning contracts, and automated data pipeline projects.

PHONE & WHATSAPP
+977-9848590208
LOCATION
Kathmandu, Nepal (GMT+5:45)
PROFESSIONAL PROFILES