Generalist Software Engineer

Backend engineering, agentic AI, and production-first thinking.

I design and deliver resilient services and multi-agent AI workflows, focusing on dependable behavior, clear interfaces, and operational readiness.

Download Resume See Highlights

Primary Expertise

Backend Systems

Architecting back-end services, event-driven pipelines, and data flows that prioritize robustness and low-latency behaviour.

Agentic AI

Building multi-agent orchestration, tool/function calling, memory/state design, and evaluation harnesses for reliable autonomous workflows.

Cloud & Infrastructure

CI/CD, observability, SLO-driven reliability, incident readiness, and cost-conscious operations.

Highlights

Focus areas you'll see across my work and projects

Approach

Clear interfaces

Predictable behaviour

Production realism

I combine pragmatic engineering with careful workflow design: clear contracts, robust orchestration, and production realism so AI systems behave reliably in real products.

Strengths

Breadth grounded in engineering fundamentals.

Backend

Maintainable services, clear APIs, and event-driven design.

AI systems

Agent orchestration, memory & state, safe tool integration.

Operations

Observability, CI/CD, and incident-aware delivery.

Work

Knowledge systems

Ingestion, retrieval, and context assembly for decision-making.

Automation flows

Multi-step workflows with routing, checks, and dependable outcomes.

High-usage platforms

Stability under sustained load and frequent change.

Delivery pipelines

Faster, safer deployments and better observability.

Proof

Scale

Experience operating production services and telemetry-informed iteration.

Execution

Delivered product and consulting work with stakeholder alignment.

Applied Research

Web-Based Intelligent Traffic Management System for Varied Weather Conditions and Emergency Vehicles

Developed a scalable, web-based traffic management platform using YOLOv8, transfer learning, and Streamlit to teach and simulate AI-driven dynamic traffic control under adverse weather conditions.

A Review on Application of Blockchain in Stock Exchange.

Analyzed blockchain implementations in global stock exchanges and evaluated Hyperledger Fabric to address critical issues regarding centralized ledgers, double-spending, and broker dependency.

Blockchain Enhanced Stock Trading Application.

A secure stock trading application was developed on Hyperledger Fabric using the Composer framework and a REST server to reduce costs and streamline inefficient post-trade processes.

Stack

Python, FastAPI, Flask, SQL (Postgres), Redis, Kafka/streaming, LangChain/LangGraph, vector DBs, Docker, Kubernetes, Terraform, Azure/AWS, Prometheus, Grafana, Git.

Style

Clear systems, low noise, strong fundamentals, and practical implementation over hype.

Location

Based in Pune, India — open to remote or anywhere in India.