Sep 2023 – Sep 2024 · 1 yr · Bengaluru, Karnataka, India · On-site

Mar 2023 – Aug 2023 · 5 mos · Bengaluru, Karnataka, India · On-site

Jan 2021 – May 2022 · 1 yr 4 mos · Bangalore Urban, Karnataka, India

• Collaborated on a secure machine learning pipeline to extract chemical entities from patent documents; containerized and deployed models (Random Forest, AutoML, Biobert) as hardened APIs using Docker and AWS, ensuring confidential data processing and access-controlled inference endpoints.
• Improved model reliability and accuracy from 82% to 97% by optimizing feature extraction using RDKit and Mol2Vec, while maintaining data integrity and provenance throughout the pipeline.
• Discovered and documented high-severity vulnerabilities in InvensisPay, a payment gateway platform, using OWASP ZAP, JMeter, and Burp Suite. Led secure coding practices that mitigated risks and reinforced backend resilience against common web attacks.
• Wrote secure backend services for Edstellar and Silaé ESG platforms using FastAPI and Rails. Implemented authentication flows and data validation to ensure compliance with secure coding standards.
• Built UI components with a security-conscious design that reduced attack surface through input sanitization and secure session management practices.
• Practiced Agile development with a focus on security. Integrated threat modeling into sprints, managed Jira workflows, and documented APIs using Postman to ensure traceability and security-by-design.

Feb 2020 – May 2020 · 3 mos · Bangalore

• This was a start-up based in Bengaluru whose parent company was Reward360 Global Services.
• 1. Hands-on experience writing features using frameworks such as Django, Sinatra, Rails and FastAPI. Some of them included :
• (i) Django framework was used to build the prototype of OAuth 2.0 for delegating user authentication to the service.
• (ii) Sinatra & Rails framework was used to build the micro-service for the COVID-19 campaign program. This program mainly focused on encouraging people to stay at home by rewarding them points on daily basis.
• 2. Followed Distributed System architecture with the help of microservices and wrote Back-end API's for the micro-services using FastAPI framework.
• 3. Was able to setup The ELK-(Elasticsearch, Logstash, Kibana) stack to provide a centralized logging system where the logs from all the service would be collected at one spot and Kibana dashboard will be used to visualize the data.
• 4. Using ORM's for database queries and Implementing Migrations tools such as Alembic on relational databases such as Mysql .
• 5. Non-relational databases such as Cassandra and MongoDB was used to achieve distributed computing.
• 6. Redis for In-memory storage i.e caching.
• 7. Test suite such as Tox or Python test module was used to write unit test cases for each service before pushing onto the GitHub repository
• 8. Deployments of Code on AWS staging servers.

Jun 2019 – Aug 2019 · 2 mos · Bengaluru, Karnataka, India

• Scope of this internship included
• 1. Analysis of transaction failure using python for Data Analysis.
• 1a. Obtained better quality data after cleaning and preparing Gigabytes sized excel sheets.
• 1b. Simple graphs & charts were drawn out using Python data viz tools such as NumPy, SciPy, Pandas,
• Matplotlib, Scrapy and BeautifulSoup.
• 1c. Useful insights were extracted from the graphs to help minimize the cost.
• 1d. Created modules using Python scripts to automate the entire analysis
• process and provide helpful insights.
• 2. A field survey to understand awareness and priorities of Generation Z in terms
• of loyalty programs.
• 3. Understanding user behavior using Google Analytics.
• 4. Configuring 3 node Cassandra Cluster on an AWS EC2 and accessing it using
• Flask API.