Headline

Building Financial tools using GEN AI @Indus Valley Partners | Ex SDE-1 @Skima AI | Python and Ruby on Rails Developer

About

I’m a recent Computer Engineering graduate from Dwarkadas J. Sanghvi College of Engineering with a strong foundation in machine learning, data analytics, and software development. Over the last four years, I’ve combined technical research with leadership in business and student-led initiatives. My academic journey includes published research on neural networks and graph-based predictive modeling, alongside impactful projects like disease outbreak forecasting and GitHub metadata analysis. I’ve served as a Teaching Assistant and held leadership roles across entrepreneurship and technical cells, managing large teams, budgets, and collaborations with CXOs. I'm passionate about using data to solve real-world problems, whether through research, development, or strategic insights. My experience spans both the technical and business domains, including internships in web development and business development. I'm now looking to contribute to forward-thinking teams in roles like Data Analyst, ML Engineer, or Business Strategist.

Location

Mumbai

AI stack

cursor

claudecode

Work experience

Associate Software Engineer at Indus Valley Partners, Apr 2026 - Present · 5 mos, Mumbai, Maharashtra, India

Reviewer at International Journal of Informatics and Communication Technology, Apr 2026 - Jul 2026 · 4 mos

Software Developer at Skima AI, Nov 2025 - Mar 2026 · 5 mos, Developed a Video Interview System which conducts AI Interviews using Eleven labs voice agents and scaled it to manage 40000 applications and conduct 1000 interviews supporting at least 50 interviews parallelly for L&T. Designed a transcription service to transcribe call recordings to assist with better analytics using GPT 4o and Grok models. Built and configured a CI/CD pipeline to streamline deployments on the staging environment, significantly improving deployment reliability and overall development velocity. Contributed to the agentic development of SKIMA-BOT, enhancing autonomous automation within the platform to streamline recruiter and hiring workflows and reduce manual intervention. Integrated services to enable seamless synchronization and propagation of changes to Applicant Tracking Systems (ATS) using Knit, ensuring high consistency, reliability, and data integrity across external systems. Successfully integrated leading HR and ATS platforms, including BambooHR, Lever, and Ashby, enabling unified data exchange and improved interoperability between internal systems and third-party tools.

Co Founder and CTO at Wedora, Aug 2025 - Nov 2025 · 4 mos, Mumbai, Maharashtra, India

Software Developer Intern at Skima AI, Jul 2025 - Oct 2025 · 4 mos, Pat on the back for September 2025. Optimized backend performance by reducing runtimes by 400% through Ruby-level code improvements, database query tuning, and centralizing batch statistics logic into a reusable service. Integrated Zapier and Notion workflows into the current codebase, automating job and candidate creation, trigger-based search actions, and enhancing operational efficiency through close collaboration with product managers. Assisted in the integration of Unified.to into the existing platform, ensuring seamless data flow and compatibility with current systems. Implemented and integrated various Rest APIs, working in tandem with UI teams to enhance recruiter workflows and ensure accurate, reliable data exchange between frontend and backend systems. Worked on developing a Recruiter Dashboard to check daily recruiter tasks, track job priorities and track pending interviews. Assisted in designing and implementing a Notification Center system from scratch, including system design discussions, event-driven architecture, and RSpec coverage for reliability.

Teaching Assistant at Dwarkadas J. Sanghvi College of Engineering, Aug 2024 - May 2025 · 10 mos, Hybrid, Created structured lecture materials including slides, notes, and visual aids to simplify complex technical concepts. Supported over 100 students by answering queries, offering 1:1 academic help, and giving constructive feedback on assignments. Facilitated student understanding of advanced topics through clear explanations and practical problem-solving. Contributed to maintaining a smooth academic flow, helping elevate class engagement and learning outcomes. Took initiative in academic discussions, research topics, and brought creative strategies to address learning challenges. Balanced the TA role alongside personal academic commitments with a consistent focus on excellence and timely delivery.

Education

Honors Degree, Intelligent Computing, Dwarkadas J. Sanghvi College of Engineering

Bachelor of Technology - BTech, Computer engineering, Dwarkadas J. Sanghvi College of Engineering

Public links

github: https://github.com/kapilk05