Open to opportunities

Rishav Jain

@rishavjain

Message

Python developer building event-driven, async-first platforms that automate operations and improve reliability.

India

Message

What I'm looking for

I’m looking for a role where I can build reliable, cloud-native systems with Python, event-driven workflows, and data/ML-powered automation—ideally in teams that value ownership, strong engineering practices, and measurable impact.

I’m a Python developer focused on building async-first, event-driven platforms that turn fragmented signals into reliable, automated operations. In my current role, I’m developing a centralized trading-ops backend across 200+ servers and leading an alert triage Slack bot with runbook-driven resolution.

Previously, as a Software Development Engineer I at Honasa (MamaEarth), I built Kafka preprocessing workflows to store 1M+ daily logs in Parquet on S3 and deployed high-availability JupyterHub on Kubernetes. I also accelerated security anomaly detection by 80% using AWS Athena over partitioned Parquet tables.

I’ve combined data-focused engineering with practical ML outcomes from my internship at Coforge—treating class imbalance with SMOTE and tuning models (XGBoost, Random Forest, LSTM) to reach an F1 score of 0.89. I enjoy shipping systems end-to-end: from scalable pipelines to dashboards and robust infrastructure automation.

Experience

Work history, roles, and key accomplishments

Current

Python Developer

Current

Graviton Research Capital LLP

Feb 2026 - Present (3 months)

Developing an async-first trading-ops platform to centralize monitoring across 200+ servers into a unified backend. Implemented an event-driven multi-agent Slack bot for alert triage and runbook-driven resolution via MCP-exposed APIs, and automated trade deployments using hash-based approval rules driven by upstream API code-check data.

Python Async Programming Event Driven Architecture Slack Automations Multi Agent Systems

Software Development Engineer I

Honasa (MamaEarth)

Feb 2025 - Jan 2026 (11 months)

Built Kafka preprocessing workflows to partition and store 1M+ daily WAF/ELB/CloudFront logs in S3 as Parquet. Provisioned AWS Athena on partitioned Parquet tables to identify security anomalies, cutting detection latency by 80%, and improved PR review speed with a LangChain-powered inline code quality tool.

Python Kafka AWS S3 Parquet Lang Chain Kubernetes Docker Jenkins

Data Science Intern

Coforge

Jun 2024 - Jul 2024 (1 month)

Applied one-hot encoding, StandardScaler, and SMOTE to address class imbalance and improve churn signal fidelity by 50%. Benchmarked XGBoost, Random Forest, and LSTM models to reach an F1 score of 0.89, and delivered a Streamlit dashboard for real-time churn forecasts and risk segmentation.

Python data preprocessing One Hot Encoding SMOTE XGBoost Random Forest Streamlit

Education

Degrees, certifications, and relevant coursework

Thapar Institute of Engineering and Technology

Bachelor of Engineering, Computer Engineering

2021 - 2025

Grade: CGPA: 8.83/10

Earned a B.E. in Computer Engineering (CGPA 8.83/10). Awarded an INR 1,10,000 scholarship each year from 2021 to 2025 for outstanding academic performance.