Jun 2024 – Aug 2024 · 2 mos · San Francisco, California, United States · Remote

• Buildspace (YC 2019) was a startup designed to help people turn their ideas into real world products by providing resources, mentorship and supportive community.
• What I worked on:
• Spearheaded the development of Trip Bharat, an AI-powered travel assistant app, designed to simplify trip planning and enhance user travel experiences across India.
• Developed an intelligent itinerary planner and integrated multi-agent systems using CrewAI, streamlining trip recommendations and crafting personalized travel itineraries based on user preferences such as budget, duration, and type of trip (family, friends, or solo).
• Implemented city-specific travel guides and dynamic, real-time travel suggestions.
• Iterated extensively based on user feedback to refine and improve product.
• Designed an intuitive and interactive user interface with React, Tailwind CSS, and Streamlit, prioritizing usability and modern design.
• Built scalable, secure backend systems using Flask and FastAPI to serve real-time APIs and deployed APIs on platforms optimized for performance.
• Checkout the live project : https://tripbharat.netlify.app/

Feb 2024 – Jun 2024 · 4 mos · Gurugram, Haryana, India · Hybrid

• Rework AI is microsoft-backed startup working on automation of the recruitment process.
• What I worked on:
• Built AI-driven model to generate personalized interview questions based on resumes and job descriptions, leveraging PyPDF2 and PdfReader for text extraction and prompt-tuned Gemini-pro model to curate tailored interview questions.
• Utilized Deepgram models to enable seamless speech-to-text (STT) and text-to-speech (TTS) functionalities, creating interactive, dynamic interview simulations with ultra-low latency (~12ms).
• Built scalable APIs with Flask, rigorously tested using Postman, ensuring reliability and scalability across diverse use cases.
• Collaborated with cross-functional teams to improve workflows, optimize system performance, and deliver a user-friendly product experience.

Jul 2021 – Sep 2021 · 2 mos · Remote

• Developed a stock price prediction model using Long Short-Term Memory (LSTM) networks, enabling accurate forecasting of market trends.
• Documented and implemented LightGBM models for both classification and regression tasks, exploring their applications in machine learning.
• Conducted research and published findings on image smoothing and blurring techniques in OpenCV, covering areas such as median, Gaussian, and bilateral filtering.
• Mentored 7 junior researchers, fostering collaboration and improving the clarity and structure of research documentation.

Feb 2020 – Feb 2023 · 3 yrs · Remote

• Designed custom graphics, UI/UX elements, and branding materials for clients across diverse industries, enhancing visual storytelling and brand identity.
• Worked on projects ranging from digital illustrations to marketing collateral, refining skills in tools like Adobe Photoshop, Illustrator, Canva and Figma.
• Developed a strong understanding of user-centric design principles, creating intuitive and aesthetically pleasing designs that resonated with client goals.
• Gained valuable insights into freelancing, including time management, negotiation, and adaptability to diverse design requirements.
• Enhanced UI/UX design expertise by focusing on user flows, wireframes, and responsive layouts.