Sep 2023 – Present · 2 yrs 9 mos · Greater Bengaluru Area · Hybrid

• Exploring and building AI products
• 1. English learning app -> real-time conversational tutoring, mistake tracking, and adaptive feedback to personalise user progress (LLM, Vector DB, Embeddings, RAG)
• 2. AI travel buddy -> helps in planning and booking holiday plans (LLM, LangChain, Vector DB, Embeddings, RAG)
• 3. LLM orchestrator -> building an orchestration layer for LLM APIs

May 2022 – Sep 2023 · 1 yr 4 mos · Bengaluru, Karnataka, India

• Investment App:
• 1. Oversaw the entire app encompassing five verticals: on-boarding, product discovery, payment, reporting, and tracker. Achieved over 4Lac downloads with a 4.6 rating on Playstore.
• 2. KYC System:- Spearheaded the development, and implementation of the KYC system. Successfully processed 3.5Lac KYCs with a 99% success rate.
• 3. Payment Gateway:- Was responsible for the end-to-end mutual fund payments integration, including e-mandates, UPI, daily transactions valued between 50L-70L.
• 4. Mutual Fund System:- Led the Mutual funds team. Mutual Fund system handled an average of 20K-30K daily mutual fund transactions.
• In house Authentication system.

Jan 2021 – Apr 2022 · 1 yr 3 mos · Gurugram, Haryana, India

• Takes care of following products:-
• 1. Tax(Loss) harvesting;- Designed and created an advisory system which notifies user's to take tax harvesting decision to save more money. Uses AI model to identify the best market timing for the user to maximize the profit. The advisory has saved money for almost 60% of our internal users in beta version.
• 2. US Stocks: - Managed U.S stocks feed.
• 3. Mutual fund tracking system:- Designed and rebuilt the complete MF tracking system, included complex cases like family account, minor account, consolidated funds, demat folios and etc. This is one of the best MF tracking system across AMCs, brokers and other new age apps in the country. The new system has the accuracy of 99.9%.
• 4. Family dashboard:- Designed and developed a dashboard where the whole family can track their investments into all the assets like Bonds, MF, Stocks, US stocks, FD and liabilities together with time series, XIRR and benchmark XIRR.

Jul 2019 – Jan 2021 · 1 yr 6 mos · Bangalore Urban, Karnataka, India

• Worked on various projects, few are:-
• 1. Created and owned a prediction model(Time series, ARIMA) for one of the client from beverage industry to predict the water requirement in the production plants in future.
• 2. Created a Deep Neural Network model with the team to extract image from the PDF.
• 3. Created a traffic model which predicts the traffic congestion in the Los Angeles city during a mega event. This was a hackathon conducted withing the company and got qualified to represent the team in Los Angeles.