Safe Security | Data Science, Software Development

Bengaluru, Karnataka, India

Bengaluru

Bengaluru, Karnataka, India




Mumbai, Maharashtra, India







BTech - Bachelor of Technology, Aerospace, Aeronautical and Astronautical Engineering
Indian Institute of Technology, Bombay
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Software Development Engineer II at Safe Security, an AI-based cyber-risk quantification company, where I design and build data platforms and cloud-native systems on Snowflake and AWS. I started as a Data Scientist developing probabilistic cyber-risk models, and my work now spans data science, backend, and data engineering. I work primarily in Python and Golang, with a focus on Snowflake, AWS (Lambda, ECS, DMS, S3), and Terraform, and I'm particularly drawn to applied AI and large language models. B.Tech in Aerospace Engineering with a Minor in Industrial Design, IIT Bombay ('22).
Greater Bengaluru Area
claude
gemini
hermes agent
openai
ChatGPT
Vercel AI SDK
Software Development Engineer II at Safe Security, Aug 2025 - Present · 1 yr 2 mos, Bengaluru, Karnataka, India, • Shipped the "See What Changed" Unified Data Layer to production, a Snowflake platform that tracks record-level changes across the product. • Built Bronze, Silver, and Gold medallion layers on Snowflake with AWS S3, handling around 2 TB of data with a 180 GB incremental load. • Migrated change data capture from Debezium and Kafka to AWS Database Migration Service (DMS). • Designed a schema-per-tenant model with tenant-scoped roles enforcing RBAC isolation. • Cut monthly platform cost from about $120K to $30K (75%) by removing redundant tables and restructuring storage.
Software Development Engineer I at Safe Security, Aug 2023 - Aug 2025 · 2 yrs 1 mo, Bengaluru, • Built RESTful APIs in Golang for a questionnaire management system using a scalable microservices architecture. • Designed and implemented the FAIR (Factor Analysis of Information Risk) model using PERT simulations across likelihood and loss models. • Migrated the monolithic scoring repository to hybrid AWS Lambda/ECS, built a FastAPI backend, and moved CI/CD from Jenkins to GitHub Actions. • Reduced monthly infrastructure cost by 67% (from $7,500 to $2,500) through resource optimization and caching. • Scaled simulation processing from 10K to 50K using an AWS SQS asynchronous architecture. • Built a ServiceNow IRM integration with GlideScript for bi-directional data sync.
Data Scientist at Safe Security, Jun 2022 - Jul 2023 · 1 yr 2 mos, Bengaluru, Karnataka, India, • Developed probabilistic cyber-risk scoring models using Monte Carlo simulations, deployed on AWS Lambda with API Gateway. • Optimized simulation-heavy APIs with Python multiprocessing, cutting latency from over 180 seconds to under 5 seconds. • Built the Interactive Cost Model (ICM) in Python for first-party organizational loss calculation. • Automated an insurance model integration with Boost Insurance, reducing manual processing time by 80%. • Contributed to the P-State probabilistic model for the MITRE ATT&CK framework.
AI and Data Science Intern at iRekommend, Jun 2021 - Jul 2021 · 2 mos, • Developed an automated Slack bot using Python, Flask, and Pandas to enhance recruiter engagement. • Created a GCP-deployed API for storing resume attachments and email details efficiently. • Implemented web scraping techniques with BeautifulSoup to gather data from PyPI and cloud products. • Recognized with a Letter of Recommendation from the Founder for exceptional analytical and technical skills.
Data Scientist Intern at Society of AI, Jul 2020 - Sep 2020 · 3 mos, • Developed a music generator using Python, music21, Keras, and TensorFlow, leveraging RNN and LSTM techniques. • Created a face-filter application with a GUI utilizing a CNN model in Keras, TensorFlow, and Tkinter. • Recognized for exceptional problem-solving and technical skills with a Letter of Recommendation from the Founder and CEO.
Associate Data Engineer at Celebal Technologies, Jun 2020 - Nov 2020 · 6 mos, • Collaborated with senior data scientists to develop a quality-check bot for customer service. • Integrated Microsoft LUIS to enhance natural language processing capabilities in customer interactions. • Utilized NumPy, pandas, and NLTK for processing complex JSON responses effectively. • Automated workflows on Amazon's website using Selenium, improving operational efficiency.
Engineering Student at Indian Institute of Technology, Bombay, Jul 2018 - Jun 2022 · 4 yrs, Mumbai, Maharashtra, India
BTech - Bachelor of Technology, Aerospace, Aeronautical and Astronautical Engineering, Indian Institute of Technology, Bombay