Headline

Software Engineer | Python · REST APIs · AI/LLM · Automation | Implementation Engineer | Open to Work

About

Software engineer with 1.5+ years building Python automation systems, REST API integrations, and LLM-powered workflows. I've shipped production-grade tools — from a Razorpay + Pabbly payment automation pipeline that cut manual effort by 70%, to an AI review analysis agent built with Streamlit and OpenAI that's live in production. My work spans SaaS implementation, workflow automation, and AI/LLM evaluation across platforms like Outlier, Appen, and Mindrift — where I've evaluated 500+ model outputs under RLHF frameworks focusing on accuracy, safety, and instruction alignment. Currently targeting roles in AI Implementation Engineering, SDE, and Automation — where I can combine backend engineering with intelligent workflow design.

Location

Bengaluru

AI stack

aistudio

gemini

langchain

openai

Work experience

Implementation Executive at Communities Heritage Limited - CHL Group, Feb 2026 - Present · 5 mos, Bengaluru, • Gathered and translated client requirements into SaaS system configurations, executing end-to-end product implementations for 5+ clients, reducing average onboarding turnaround by 30% • Configured and customized HRMS and CRM software based on client-specific business requirements, integrating third-party APIs as needed to extend platform functionality. • Identified, documented, and tracked defects; collaborated with development teams for resolution. • Investigated and resolved 50+ application, API, and workflow issues through structured root cause analysis, reducing repeat escalations by 40%. • Managed client onboarding, user training, go-live support, and post-implementation assistance. • Documented implementation workflows, issue resolutions, and best practices while collaborating with support and product teams.

AI Quality Analyst & LLM Evaluator at Mindrift, Oct 2024 - Present · 1 yr 9 mos, Bengaluru, • Evaluated 500+ LLM-generated responses under RLHF framework, assessing accuracy, safety, relevance, and instruction-following quality against defined rubrics. • Ranked AI-generated outputs across text, image, video, and audio formats for accuracy, relevance, and alignment with user intent. • Optimized 100+ prompts across GPT-4o, Claude, and Gemini to improve response alignment, consistency, and instruction-following across model versions. • Reviewed AI-generated Python code for logical correctness, efficiency, and quality; validated outputs on sensitive content categories ensuring 100% policy compliance. • Evaluated webpage quality (Falcon/Teapot project) based on intent classification, content trustworthiness, and relevance contributing to search ranking model training data. • Performed context-based evaluation of AI-generated responses, comparing multiple outputs against prompts and system-provided context; identified misalignment and rewrote prompts to improve instruction-following and response quality. • Evaluated AI-generated Python code by comparing multiple solutions against a given context, assessing correctness, relevance, and quality, and identifying opportunities for improvement.

Junior Support executive at Zopping, Mar 2025 - Nov 2025 · 9 mos, Bengaluru, Karnataka, India, • Collaborated with clients to configure and set up customized e-commerce websites based on business needs. • Collaborated with developers, designers, and product teams to resolve issues and improve product quality. • Participated in problem-solving discussions to address technical and business implementation issues. • Conducted cross-browser and mobile testing (Chrome, Safari, Android) • Designed and implemented E-commerce Booking Workflow Automation using Pebbly and zapier, Python, and Razorpay APIs, SMTP for a client’s pet service platform. – Integrated OneHashCal API with Pebbly to fetch booking details and customer data. – Built dynamic pricing logic in Python based on service type and pet weight. – Automated payment flow by generating Razorpay dynamic payment links and sending confirmation emails via Pebbly workflows. • Reported bugs in internal tracking tools and followed up until closure. • Supported customers in using SaaS-based platforms effectively and resolving configuration-related queries. • Ensured the website’s workflow, payment flow, and UI elements functioned smoothly before client delivery.

Education

Bachelor of Technology, Computer Science, Raghu Engineering College