Software Engineer | Building AI Systems & Agentic Workflows | Python, FastAPI, AWS, Distributed Systems
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I am a Machine Learning Engineer and Python developer with experience building scalable backend systems and AI-powered products end-to-end. I enjoy working at startups where I can contribute across architecture, APIs, infrastructure, and product decisions. Recently, I have been focused on integrating LLM workflows into real user experiences, including automated planning and content generation systems.
I am comfortable working in fast-paced environments and collaborating closely with product and engineering teams. Outside of work, I enjoy solving algorithmic problems and continuously improving my system design skills.
Adeptmind – Remote
Search Team, Machine Learning Engineer / Data Team, Software Developer
Jan 2023 – Present
Built a GenAI quality assurance and evaluation system using Django, Mirascope, and LiteLLM.
Developed a multi-accent voice training agent using the LiveKit Agent Framework.
Set up staging environments with Docker Compose and automated CI/CD pipelines using GitHub Actions and Workflows.
Improved inventory management APIs with a focus on security and cost optimization.
Enhanced large-scale data gathering pipelines using Selenium and cURL.
Built an AI chatbot using vector databases and third-party LLM providers like OpenAI.
Implemented deep linking functionality for product pages to improve conversion tracking and user behavior analytics.
Anakin (YC S21) – Bengaluru, India
Founding Team, Software Engineer
Jul 2022 – Jan 2023
Built scalable data gathering pipelines and delivered business insights using BigQuery and Looker Studio.
Optimized cloud infrastructure, reducing operational costs by more than 30%.
Reverse engineered web and Android applications to extract and integrate data APIs.
Sudoviz – Texas, USA
Founding Team, Software Engineer
Aug 2021 – May 2022
Built components for an Application Security Posture Management platform by orchestrating multiple SAST and SCA tools.
Developed microservices and deployed containerized applications on Kubernetes using AWS.
Designed Neo4j database schemas and automated CI/CD pipelines using GitHub Actions.
Managed sprint planning and tracked feature timelines using Jira and Trello.
May 2021 – Aug 2021
Assisted in application security automation and tooling integration across engineering workflows.
MIDAS Labs – IIITD, India
May 2020 – Apr 2021
Worked on a Devanagari Information Retrieval System for prenatal healthcare workers and co-authored a paper published at ClinicalNLP 2023 titled “Hindi Chatbot for Supporting Maternal and Child Health Related Queries in Rural India.”
Conducted experiments on BERT models to improve sentence classification for Devanagari queries.
Engineered an SMS automation system using GSM modules on Linux-based edge devices, reducing messaging costs by approximately 95% compared to Twilio.
Bachelor of Technology (B.Tech)
Netaji Subhas Institute of Technology
2018 – 2022