Abhinav A. — Software Engineer

एक सक्रिय इंजीनियर जो हमेशा चुनौतीपूर्ण और वास्तविक समस्याओं या उत्पादों पर काम करने के लिए तत्पर रहता है। समस्या-समाधान, बैकएंड विकास और मशीन लर्निंग में निपुण। परिश्रमी और उद्योग को सार्थक रूप से आगे बढ़ाने के लक्ष्य के प्रति प्रतिबद्ध, साथ ही नई चीज़ें जल्दी सीखने और कठिन परिस्थितियों में खुद को ढालने की क्षमता रखता है। अनुसंधान-आधारित परियोजनाओं के प्रति जिज्ञासु और नेतृत्व कौशल से परिपूर्ण। कार्य और जीवन — दोनों में निष्ठावान, समर्पित और अनुशासित रहते हुए परिचालन सफलता को बढ़ावा देने के लिए तत्पर। प्रौद्योगिकी स्टैक:[C++, पायथन, गोलैंग, नोड.जेएस + एक्सप्रेस, व्यू.जेएस, रिएक्ट, जेंगो, फ्लास्क, फास्टएपीआई, पायटॉर्च, साइकीट-लर्न, एज़्योर डेटाब्रिक्स, एडीएलएस, एज़्योर ऐप सर्विस, कुबर्नेटिस, डॉकर, काफ्का, एडब्ल्यूएस ईसी2, एस3, लैम्ब्डा, माईएसक्यूएल, पोस्टग्रेएसक्यूएल, मोंगोडीबी]

Stackforce AI infers this person is a Backend Developer with expertise in Machine Learning and E-commerce solutions.

Location: Bengaluru, Karnataka, India

Experience: 5 yrs 4 mos

Skills

Go (programming Language)
React.js
Product Development
Elastic Stack (elk)
Vue.js
Flask
Golang
Aws
Python
Deep Learning
Scikit-learn
Django

Career Highlights

Proficient in backend development and machine learning.
Led multiple impactful projects in automotive and renewable energy sectors.
Strong problem-solving and leadership skills.

Work Experience

Swiggy

SDE - 2 (1 yr 1 mo)

Mercedes-Benz Research and Development India

Software Engineer T9 (6 mos)

Software Engineer T10 (1 yr 2 mos)

Intern (9 mos)

Freelance

Technical Consultant (10 mos)

JSS Developer's Group

Technical Team (1 yr 7 mos)

Omdena

Junior ML Engineer (2 mos)

TBP Labs

Python Developer (1 mo)

GirlScript Summer of Code

Mentor (3 mos)

Script Winter of Code

Mentor (2 mos)

Winter of Code

Mentor (2 mos)

SLoP

Student Developer (2 mos)

Codechef JSS Chapter

Competitive Programming Lead (1 yr)

Education

at JSS Academy Of Technical Education Karnataka

Abhinav A.

Software Engineer

Bengaluru, Karnataka, India5 yrs 4 mos experience

Key Highlights

Proficient in backend development and machine learning.
Led multiple impactful projects in automotive and renewable energy sectors.
Strong problem-solving and leadership skills.

Stackforce AI infers this person is a Backend Developer with expertise in Machine Learning and E-commerce solutions.

Contact

Skills

Core Skills

Go (programming Language)React.jsProduct DevelopmentElastic Stack (elk)Vue.jsFlaskGolangAwsPythonDeep LearningScikit-learnDjango

Other Skills

AWS CodeBuildAWS CodePipelineAlgoliaAmazon EC2Amazon Web Services (AWS)Apache KafkaApache SparkCompetitive ProgrammingData ScienceData VisualizationDatabricksFigmaGoogle MapsJavaJavaScript

About

Experience

Swiggy

SDE - 2

Feb 2025 – Present · 1 yr 1 mo · Bengaluru, Karnataka, India · Remote

Building Instamart for Retailers (Tezz) and HoReCa (Assure)
Stack - Go, Java, React, AWS

Go (Programming Language)React.jsAlgoliaJavaSpring Boot

Mercedes-benz research and development india

3 roles

Software Engineer T9

Aug 2024 – Feb 2025 · 6 mos · Bengaluru, Karnataka, India · Hybrid

Continued working as an everything engineer.
Built a DLT viewer alternative for testers with advanced features like Root case analysis and Similar ticket recommendation.
Engineered a self service flow to send filtered DLT logs to elasticsearch.
Did multiple POCs such as, building a Dbeaver like interface to view & manipulate Delta tables, building a config driven dashboard to view teamwise/dept wise KPI metrics for management visibility etc.

Product DevelopmentVue.jsGo (Programming Language)PythonReact.jsElastic Stack (ELK)+3

Software Engineer T10

Jun 2023 – Aug 2024 · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

Received PPO
Worked as an everything engineer in this role, majorly building self service capabilities in our data platform.

Vue.jsApache KafkaFlaskPostgreSQLGo (Programming Language)Elastic Stack (ELK)+1

Intern

Sep 2022 – Jun 2023 · 9 mos · Bengaluru, Karnataka, India · Hybrid

Worked on Automatic Ticket Service API in Golang.
Added endpoints in Log-service API.
Worked on an end-to-end API in Flask and deployed on Azure App service.
Tech Stack - Python, Golang, Postgres, PySpark, Databricks, Azure Data lake, Azure Data Factory, App service and other Azure services.

Apache KafkaFlaskMicrosoft AzureVue.jsGo (Programming Language)PostgreSQL+1

Freelance

Technical Consultant

Mar 2024 – Jan 2025 · 10 mos · Remote · Remote

Responsibility - Application Developer (Frontend, Backend, DevOps)
Client 1:
Independently developed and deployed a full MVP for a UK-based renewable energy client—built a marketplace connecting solar installers with building prospects, featuring AI-based solar panel visualization, OpenStreetMap integration, and detailed filtering.
Led end-to-end CI/CD (GitHub Actions) and AWS deployment; automated data scraping, insights generation, and Apollo.io integration for targeted outreach campaign.
Client 2:
Architected a web version of a US client's FOIA redaction desktop tool—integrated PSPDFKit, in-house AI for redaction suggestions, robust RBAC, and a subscription model.
Delivered full-stack features across frontend, backend, and DevOps with a strong focus on performance, scalability, and user experience.

React.jsGo (Programming Language)FigmaAmazon Web Services (AWS)AWS CodePipelineAWS CodeBuild+7

Jss developer's group

Technical Team

Nov 2021 – Jun 2023 · 1 yr 7 mos · Bangalore Urban, Karnataka, India

React.jsPython

Omdena

Junior ML Engineer

Sep 2021 – Nov 2021 · 2 mos

Worked with the team on a Machine Learning model to predict wildfire by classifying the smoke detected by the sensor.
Deployed the model on AWS and later made the model compatible with the Bosch BME688 sensor using tinyML.

Scikit-LearnDeep LearningPython

Tbp labs

Python Developer

Jul 2021 – Aug 2021 · 1 mo · Remote

Migrated API from flask to Django.
Implemented some additional features according to the requirements.

DjangoFlaskPostgreSQLPython

Girlscript summer of code

Mentor

Mar 2021 – Jun 2021 · 3 mos

Mentored around 100+ students in Competitive coding and Machine Learning domain.
Conducted sessions on GIT, How to start your CP journey and Basics of ML for my mentees.
Reviewed more than 200 PRs during the program.