Oct 2025 – Mar 2026 · 5 mos · Gurugram

Jul 2023 – Oct 2025 · 2 yrs 3 mos · Gurugram

• Played a key role as part of the core engineering team in architecting and delivering a Customer Care Console for enterprise clients including HDFC, WEGO, and Leocare—boosting agent productivity and transforming support service delivery.
• Developed and launched high-performance Survey Data Services for major clients including Samsung and CGB, reducing survey response collection time from 10 seconds to under 1 second, significantly improving data turnaround.
• Led the end-to-end integration of omnichannel messaging solutions into the Sprinklr Platform, collaborating closely with platform and infrastructure teams to improve real-time customer engagement and overall system scalability.
• Spearheaded the design and development of the Agent Nudges module from scratch, integrating advanced notification capabilities to enhance operational efficiency and elevate the quality of customer interactions.
• Directed large-scale Knowledge Base migration projects for high-profile clients such as Breville, POS Malaysia, and Canal+, resulting in streamlined information access and improved support workflows.
• Consistently resolved complex client issues proactively, reducing average resolution time to less than 2 days and ensuring uninterrupted customer service experiences.

Oct 2022 – Feb 2023 · 4 mos · Remote

• Developed a malicious PDF detection module by creating a dataset of PDF files that included both malicious and benign files.
• Utilized appropriate feature extraction techniques and classification algorithms like Naive Bayes, Decision Tree and Random Forest to develop a model that could accurately distinguish between them.

Aug 2022 – Dec 2022 · 4 mos

Jan 2022 – May 2022 · 4 mos

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India

• Developed an innovative trading suggestion platform which recommends user to buy/sell/hold based on analytics considering technical indicators like RSI, VWAP, ATR, Moving Averages, etc.
• Led the task of analyzing and formulating trading strategies with combination of technical indicators.
• The platform worked on a Flask backend, with distributed servers for redundancy and fast processing.
• On testing, the mathematical module gave an accuracy of 85-90%.

Mar 2022 – Apr 2022 · 1 mo

• Developed the official website of the organisation. Used React for frontend and Firebase for deployment.
• Worked on steam heat rate optimisation for Ultratech’s power plant. Used regression and XGBoost models in H2O AI tool to find optimum steam temperature and pressure.

Jan 2021 – Apr 2021 · 3 mos

• Worked on migration of outdated Flash based animations to browser friendly animations based on AnimeJS.