Mar 2025 – Mar 2026 · 1 yr · Remote

Jan 2024 – Mar 2025 · 1 yr 2 mos · Remote

Oct 2022 – Dec 2023 · 1 yr 2 mos

• Push Notifications:
• Revamped push notification infrastructure, migrating from a monolithic RabbitMQ architecture to a Kafka-based microarchitecture, achieving a 30% reduction in message delivery latency.
• Enhanced user targeting by implementing optimal user cohorts using Elasticsearch, resulting in a 20% increase in user engagement.
• Integrated data science pipelines for user eligibility assessment, leading to a 15% improvement in notification relevance.
• Streamlined notification ranking algorithms, considering user behaviour and notification history, resulting in a 25% boost in click-through rates.
• Panel Notifications:
• Designed and implemented a high-performance Golang microservice for in-app panel notifications, achieving backward and forward compatibility.
• Engineered a scalable architecture with minimal latency, supporting high RPS, and reducing message storage by 800 million documents in MongoDB within a week, maintaining system integrity.
• Sms (Short Message Service)
• Setup sms infra which used Clevertap with multiple vendors (ValueFirst, Gupshup, Exotel), enabling efficient product-based campaigns.
• WhatsApp:
• Managed WhatsApp use cases, incorporating multiple vendors and optimising callback handling.
• Successfully handled business scenarios like document collection, office hour calibration, and implemented analytics and frequency capping measures.
• Email:
• Implemented a golang microservice for email status callbacks, ensuring real-time tracking of email deliverability.
• Cross-Functional Collaboration:
• Collaborated with multiple cross-functional teams, configuring cloud schedulers, Airflow, and orchestrating tasks, resulting in a 15% improvement in task efficiency and monitoring.
• Spearheaded the creation of optimized alerts, improving visibility and traceability across the organization and leading to a 20% reduction in critical incident response time.
• Played a key role in establishing the on-call support framework within the organization.

Sep 2021 – Sep 2022 · 1 yr

Jan 2021 – Aug 2021 · 7 mos

Sep 2019 – Jan 2021 · 1 yr 4 mos · Bangalore

• Slashed average time to setup a customer 30% by creating a scalable enrichment service and DSL (domain specific language) to transform, modify and enrich user requirements and add features.
• Created and maintained the service for managing the users, workspaces, roles and teams in the platform.
• Smart Management, Fetch and search system for platform data using Elastic search, mongodb and monstache.
• Made the platform more intuitive by creating a validation service for sheet uploads and user friendly status updates.
• Migration of micro services between GCP and AWS.
• Managed cloud deployment, debugging and worked on performance optimisation across services.

Mar 2019 – Jul 2019 · 4 mos · Bengaluru, Karnataka, India

• Brought down the average time taken by design team to create a glance by 10% by creating a content scaling service to dynamically classify Indian celebrities using Deep learning in over a 100 classes and actively push the results in google drive.
• Worked on news article deduplication using NLP.

Jul 2018 – Feb 2019 · 7 mos · Bangalore

• Worked on a project to detect stress from videos, voice and text using deep learning approaches like CNN, DCNN, RNNs, LSTM, CNN- LSTM, Language modelling, image classification on emotions using facial landmarks and implementation of different CNN architectures.
• Created a flask server and deployed the models for audio, video and text.
• Worked with the team to create an android application for dynamic classification of audio, video and text by the users.

May 2018 – Aug 2018 · 3 mos · Bangalore

Feb 2018 – Jul 2018 · 5 mos · Bangalore

Oct 2017 – Feb 2018 · 4 mos

• A mentorship program for women around the globe.
• https://www.learnitgirl.com/
• Worked on a project to survey depression using Django and machine learning. A web app that will use sentimental analysis using data from twitter and plotting it on the web app in real time .
• https://github.com/swekshajha12/Depression_app

May 2017 – May 2017 · 0 mo · Bangalore

• Worked on a computer vision project to develop instant review system by face and emotion detection.

Apr 2017 – Jun 2017 · 2 mos · BANGALORE

Apr 2017 – Apr 2017 · 0 mo · Bangalore

• Made a chatbot which answers your queries regarding crypto currencies basically bitcoin.

Apr 2017 – Apr 2017 · 0 mo · Bangalore

• Worked on a project to make people aware about water resources and predict water level in areas for efficient use.
• https://github.com/swekshajha12/water-management

Feb 2017 – Feb 2017 · 0 mo

• Developed a combined solution for monitoring health of workers and the factory conditions to keep a check on emission of gases such as carbon monoxide which is harmful for health of workers , light conditions , humidity and temperature . It is sent to cloud where it can be monitored by the company officials so that they can take preventive measures and even keep the workers in good health.
• https://github.com/swekshajha12/IIOT

Jan 2017 – Jan 2017 · 0 mo · Bangalore

• Worked on a project to prevent accidents in hilly areas and hairpin turns where the drivers can't see the vehicles approaching from the other direction.
• https://github.com/swekshajha12/Dodge_Hills

Mar 2016 – Jun 2016 · 3 mos · BMSCE BANGALORE

• Worked on a project to curb pollution in vehicles and automate servicing facilities for lended tractors.
• https://github.com/swekshajha12/smart-tractors1