Senior SDE - ML, Cloud & DevOps Engineer

SIDDHANT JAIN

+1-206-***-**** ***.****.***@*****.*** LinkedIn Github

SKILLS:

Languages: Python, Java, SQL, Bash, JavaScript, C# Cloud and DevOps: AWS (Lambda, EKS, API Gateway, S3, DynamoDB, CloudWatch), Terraform, Docker, Kubernetes, GitHub Actions, Jenkins, AWS CodePipeline

Observability: Prometheus, Grafana, Splunk, New Relic, SLOs and incident management Data and ML in production: PyTorch, TensorFlow, MLflow, DVC, LangChain, LangGraph, feature engineering, A/B and drift monitoring

Databases and Messaging: Postgres, Oracle, Redis, Kafka Security and Compliance: IAM, KMS, VPC, WAF, CIS benchmarks WORK EXPERIENCE:

Software Development Engineer, Community Dreams Foundation Feb 2025 – present

Designed and deployed a serverless AIOps workflow using Python, LangGraph, LangChain, AWS Lambda, API Gateway, CloudWatch, and a vector DB, reducing MTTR (Mean Time to Recovery) 45%; built an SDET suite with pytest, integration, LocalStack contract tests, and Locust load tests.

Generated optimization and security Terraform PRs from log insights, cutting AWS cost 25% and lifting CIS Benchmark compliance from 78% to 95%

Software Developer - ML, The Legal Book Dec 2022 – Jun 2023

Implemented AI-driven “Review in Seconds”: Enabled legal teams to explore 100+ contracts monthly by comparing clauses against playbook parameters and flagging discrepancies. Developed backend using Python and Flask for real-time contract analysis and AI integration on Linux Operating System along with the assistance of Terraform.

Streamlined ML Deployments & CI/CD: Automated rollout of GPT/BERT models with Docker and Kubernetes; established Jenkins pipelines, increasing deployment frequency by 30%, and utilized MLflow, DVC, and AWS for reproducible workflows.

Monitoring & Uptime: Assembled Prometheus and Grafana, reducing downtime by 20% and elevating incident resolution. Software Developer (Intern), Vriddhi Software Solutions, Pvt. Ltd. Mar 2022 – Aug 2022

ERP Implementation for 200+ Institutes: Deployed ERP software to handle academic/financial data, creating PL/SQL packages and procedures using Oracle SQL Developer for resilient data integrity.

Inspected consistency checks and index defragmentation, boosting database performance by a predicted 15%.

ASP.NET & Data Availability: Revamped intranet and cloud layers on ASP.NET 4.5, raising data availability by 30% through real-time synchronization, multi-threading, and optimized C# data access. Artificial Intelligence Engineer (Extern), IBM. Apr 2021 – Jul 2021

Sales Forecast Web App: Crafted a forecasting platform with NumPy, Pandas, scikit-learn, TensorFlow, analyzing 1000+ of data points to predict store sales. Minimized debugging by 20% via efficient Flask, RESTful endpoints and Jinja2 templating.

LSTM-Based AI Model: Leveraged RNNs to study historical data, upgrading forecast accuracy by around 20%. PROJECTS:

End-to-End Medical Chatbot GitHub Jul 2024

Developed an end-to-end medical chatbot by leveraging LLMs and RAG models using Langchain and OpenAI’s API on AWS EC2, resulting in handling 1,000+ queries per month with 98% accuracy.

Engineered an appointment booking system integrated with AWS RDS by streamlining SQL-based operations, achieving a 40% reduction in processing time.

Created an intuitive, compassionate medical Q&A interface by incorporating real-time analytics and optimized response prompts, leading to a 30% decrease in patient anxiety during pilot tests. Optimized overall system performance by integrating efficient session management and real-time data analytics, resulting in a 25% reduction in response times. E-Commerce Platform with Advanced Monitoring and Incident Management GitHub Jun 2024

Ideated a robust e-commerce website using Java 17 and Spring Boot, incorporating real-time auditing and observability through Splunk and APM tools like New Relic, to detect and analyze system performance and user interactions.

Architected Incident and Problem Management workflows using automated alerts and triggers via ServiceNow, cutting incident resolution time by 40%.

Optimized performance and reliability by addressing bottlenecks identified through APM tools, such as slow database queries and intensive backend processes; boosting page load speeds by 30%.

Strengthened security and data protection by Engineering secure user authentication with Spring Security and OAuth 2.0, along with data encryption, ensuring compliance with industry standards and safeguarding user information. EDUCATION:

Masters in Science, Computer and Information Sciences, University at Buffalo, USA CGPA: 3.8 Bachelor of Technology, Computer Science with Business Systems, Vellore Institute of Technology, India CGPA: 3.91 PUBLICATIONS:

Rust disease classification using deep learning algorithms Link: Presented at Eurasia Conferences in Berlin. May 2023 Medify Chatbot Link: Published in Journal: IJARCCE. Sep 2022 VOLUNTEER EXPERIENCE:

Member of Rotaract Club, VIT Vellore, India: Organized 50 awareness-raising seminars, fostering community engagement, while volunteering in social work for nearby villages Sep 2019 – Oct 2022

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