Sanial Das — Senior Software Engineer

Senior Software Engineer | YOE : 2+ building scalable backend and full stack applications I am currently Senior Software Engineer with proven track record of architecting high-impact systems from scratch. Built loan management platforms serving 500+ dealerships, improved ML prediction accuracy by 40%, and reduced system processing time by 50%. Expert in Next.js, TypeScript, Java, and machine learning, with experience scaling applications to handle 1000+ concurrent users. Currently leading technical innovation at OneLot (remote fintech startup) as a Senior Software Engineer, with 2+ years of expertise in building scalable systems and machine learning solutions. Recently promoted from Software Engineer after demonstrating exceptional performance in architecting and developing loan management platforms from scratch. Core Expertise: • Full-Stack Development: Next.js, TypeScript, Node.js, PostgreSQL, Docker • Backend Technologies: Java (Spring Boot), Python (FastAPI), Golang, Microservices • Machine Learning: TensorFlow, PyTorch, LLM, Time-Series Forecasting, Data Analytics • Data Engineering: Apache Spark, Kafka, Redis, Druid, SQL/NoSQL databases • Cloud & DevOps: Docker, Kubernetes, Jenkins, ArgoCD, CI/CD pipelines Professional Journey: • Senior Software Engineer - OneLot (Jun 2025 - Present) • Software Engineer - OneLot (Jun 2024 - May 2025) • Software Engineer - Media.net (Jul 2023 - May 2024) • Software Engineer Intern - Media.net (Jan 2023 - Jun 2023) Key Achievements: • Built dealership onboarding platform serving 500+ dealerships nationwide • Improved ML model prediction accuracy by 30-40% through advanced optimization • Reduced system processing time by 50% through architectural improvements • Led technical decisions and mentored junior developers Education: B.Tech in Computer Science Engineering from IIIT Guwahati (GPA: 7.86/10.0) Problem-Solving Excellence: 1000+ problems solved across LeetCode and Codeforces, demonstrating strong algorithmic thinking and data structures expertise. I'm passionate about leveraging technology to solve complex business problems and building systems that scale. My experience spans fintech, adtech, and analytics domains, with a focus on creating robust, efficient solutions that drive business growth. Open to discussing opportunities in software engineering, machine learning, and technical leadership roles where I can contribute to innovative projects and drive technological advancement. #SoftwareEngineering #MachineLearning #FullStackDevelopment #Fintech #TechLeadership

Stackforce AI infers this person is a Fintech-focused Full-Stack Engineer with strong Machine Learning capabilities.

Location: Visakhapatnam, Andhra Pradesh, India

Experience: 3 yrs 11 mos

Skills

Full-stack Development
Backend Technologies
Machine Learning
Devops

Career Highlights

Architected scalable systems for 1000+ concurrent users.
Improved ML model accuracy by up to 40%.
Led technical innovation in a remote fintech startup.

Work Experience

OneLot

Senior Software Engineer (1 yr)

SDE (Founding Engineer) (11 mos)

Media.net

SDE 1 (10 mos)

SDE intern (5 mos)

Legato Health Technologies

SDE summer intern (2 mos)

Google Developer Student Club IIITG

ML/AI Lead (9 mos)

Indian Institute of Information Technology Guwahati

ML head Coordinator (4 mos)

Determinant Studios

Machine Learning Intern (2 mos)

Growth Central VC

SME project intern (1 mo)

Google Developers

learning google cloud (1 mo)

Education

Bachelor of Technology - BTech at Indian Institute of Information Technology Guwahati

CBSE at Navy Children School

Sanial Das

Senior Software Engineer

Visakhapatnam, Andhra Pradesh, India3 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Architected scalable systems for 1000+ concurrent users.
Improved ML model accuracy by up to 40%.
Led technical innovation in a remote fintech startup.

Stackforce AI infers this person is a Fintech-focused Full-Stack Engineer with strong Machine Learning capabilities.

Contact

sanial2001@gmail.com LinkedIn

Skills

Core Skills

Full-stack DevelopmentBackend TechnologiesMachine LearningDevops

Other Skills

AlgorithmsAnalytical SkillsApache DruidApache SparkArgoCDCC++Computer ScienceData AnalysisData ScienceData StructuresDeep LearningDesign PatternsDockerFastAPI

About

Experience

3 yrs 11 mos

Total Experience

1 yr

Average Tenure

1 yr 11 mos

Current Experience

Onelot

2 roles

Senior Software Engineer

Promoted

Jun 2025 – Present · 1 yr · Philippines · Remote

Led architecture design and implementation of scalable microservices for loan management platform,
handling 1000+ concurrent users with 99.9% uptime
Mentored junior developers and drove technical decisions for full-stack development using Next.js,
TypeScript, and PostgreSQL
Optimized database performance and implemented advanced caching strategies, reducing query
response time by 50% and improving overall system efficiency

Next.jsTypeScriptPostgreSQLMicroservicesDockerFull-Stack Development+1

SDE (Founding Engineer)

Jun 2024 – May 2025 · 11 mos · Philippines · Remote

Built full-stack dealership onboarding platform from scratch using Next.js, TypeScript,
PostgreSQL, and Docker, serving 500+ dealerships nationwide
Developed RESTful APIs and authentication systems, reducing onboarding time by 60% and
enabling seamless cross-team collaboration
Implemented automated KYC workflows and operational processes, improving data processing
efficiency by 45% and accelerating loan approvals by 35%
Designed database schemas and data models for optimal query performance, ensuring robust data

Next.jsTypeScriptPostgreSQLDockerRESTful APIsFull-Stack Development

Media.net

2 roles

SDE 1

Jul 2023 – May 2024 · 10 mos · Mumbai, Maharashtra, India

Developed robust and scalable applications using core Java and Spring Boot. Collaborated closely with the Analytics Backend team to streamline data flow through Druid and Spark.
Utilised open source framework such as redis for in-memory data and kafka for message queue and Apache Spark for comprehensive analysis for large-scale data processing
Worked on improvement of Time series forecasting models by EDA and hyper-parameter tuning Machine Learning models which resulted in substantial increase in prediction by 30%-40% and forecasting algorithm on Analytics team.

JavaSpring BootApache DruidApache SparkKafkaBackend Technologies

SDE intern

Jan 2023 – Jun 2023 · 5 mos · Mumbai, Maharashtra, India

Worked on time series dataset for forecastAPI. Created forecastAPI using python FastAPI. Conducted thorough research on cleaning of data and outlier detection for time series data for ML models which resulted in substantial increase in performance and prediction algorithm for Analytics backend team by 20%-30%
Worked on custom LLM and generative AI models, utilizing open-source solutions and prompt engineering techniques to transform unstructured data into structured formats. Leveraged technologies such as TensorFlow, PyTorch, and Apache Kafka, contributing to a 40% increase in data analysis efficiency and significantly improving the accuracy of insights for the analytics team.

PythonFastAPITensorFlowPyTorchMachine Learning

Legato health technologies

SDE summer intern

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India · On-site

* Worked on open-source projects and mastered various DevOps tools including ArgoCD, OCP, Docker, Jenkins and Kubernetes. This expertise enabled seamless deployment and orchestration of applications, reducing deployment time by significant amount and enhancing system reliability and scalability.

DockerJenkinsKubernetesArgoCDDevOps

Google developer student club iiitg

ML/AI Lead

Aug 2021 – May 2022 · 9 mos · Remote

* Acquired the role of the principal mentor for Machine Learning and Artificial Intelligence (ML/AI) domains, providing guidance and support to a diverse group of over 100 students

Indian institute of information technology guwahati

ML head Coordinator

Aug 2021 – Dec 2021 · 4 mos · Remote

* As the coordinator of the ML club, I undertook the responsibility of fostering the growth and interest of more than 50 junior members in the field of Machine Learning (ML)

Determinant studios

Machine Learning Intern

Apr 2021 – Jun 2021 · 2 mos · Bengaluru, Karnataka, India · Remote

Developed an NLP-based task assigner project that seamlessly integrates into the company's application, enabling administrators to efficiently allocate tasks to the appropriate users.
Envisioned and initiated a project focused on time series forecasting, diving deep into the realm of deep learning frameworks to gain comprehensive knowledge and understanding