Apr 2023 – Jun 2023 · 2 mos · Gurugram, Haryana, India · On-site

• Create new features for AdaniOne platform's Duty-free business.
• > Pioneered app feature poised to drive a potential 20% increase in online duty-free sales at 6 international Adani airports pan India
• > Achieved 40% reduction in development time of an offline onboarding webservice
• > Engineered onboarding process for 80+ million prospective passengers on the duty-free agent app at 6 international Adani airports pan India
• > Streamlined and customised the passenger onboarding process via WhatsApp across 7 Adani Airports with a footfall of 80+ million passengers
• > Consulted with 10+ decision makers to conduct root cause analysis of customer pain points on the Adani One super app with 1+ million downloads
• > Designed and delivered high-fidelity wireframes and PRDs for 12+ customer journeys on the Adani One duty-free agent app for assisted sales
• User immersion, define product requirements, wireframing and low fidelity designs, tech grooming, stakeholder management.

Mar 2023 – Oct 2023 · 7 mos · Ahmedabad, Gujarat, India · Hybrid

• > Selected & Led a two-tier team of 30+ members; Liaised with 25 clubs
• Spearheaded 6.8L+ cash prize budget allocation
• > Attained 1.5M+ impressions & 29K+registrations across 19 events & 40% YoY increase in the flagship event registration
• > Achieved a 23% YoY increase in college participation
• > Secured 5000+ footfall from 1.6K+ colleges

Mar 2022 – Jun 2022 · 3 mos

• Responsibilities & Achievements:
• > 1/10 of 1500 awarded for Outstanding Performance
• > Spearheaded two university collaborations with IIT Kanpur in advanced technology research for 6 months
• Product:
• > 30% improvement in voice analysis performance by using enhanced audio pre-processing techniques
• > 25% reduction in average CPU Usage of the audio pre-processing pipeline by data processing optimisation
• > Conceptualized and developed on-device real-time audio intelligence systems for enhanced user experience
• Research:
• > Pioneered from scratch Voice AI domain (AI+ audio processing) work for enhanced device features
• > Conducted Comp. analysis for 10+ firm developing products in VoiceAI domain for best value add feature
• Mentorship:
• > Guided 5 fresher recruits & evaluated 4 summer interns for work ranging from Deep Learning to UI application development

Jan 2022 – Jun 2022 · 5 mos

• > “Project of the Year” awarded out of 200 teams
• > Led an official client-facing project; Presented health status reports in front of around 100 senior management
• > Drove novel collaboration projects with three separate R&D verticals involving frequent context switching
• > Took proactive ownership to adopt Agile Methodology of deliverables management in interconnected teams
• > Managing advanced research collaboration project with IIT Kanpur for perceived noise reduction of Samsung devices.
• > Managing SamsungHQ supervised advanced research and development project in Voice Interaction Domain to improve user experience in voice interaction with Samsung devices.

Jan 2022 – Jun 2022 · 5 mos

• Technical Lead at Voice AI Task Force at Intelligence SW Team (SRI-Delhi).
• Overseeing various new POCs development, and innovation in the Voice AI domain.
• > Developed Voice AI core competency in the team via customised training (group sessions and assignments)

Jul 2018 – Mar 2022 · 3 yrs 8 mos

• Worked on projects which require an active research role apart from development. It involves applying Deep Learning models and signal processing on Human Speech and acoustic input for a plethora of uses on Samsung Smart TV.
• Some of the active research areas include Speech Enhancement, Acoustic Event Detection, Keyword Spotting, Sound Source Localization, and Audio Zooming.
• Automating extensive jobs in the fundamental Shell environment. I developed certain Tools(Python and Shell) on my own initiative, now actively in usage in software pipeline.
• >Acquired Professional level Software Certification|1/ 10 selected for 7 week business trip to S. Korea (HQ) as fresher
• > Perused ~50 research papers; summarized individual and pairwise state-of-the-art analyses
• > Achieved Speaker identification performance within 90% range of state-of-the-art systems by using just 1% data
• > Monitored around 2000 hours of model training (Deep Learning) to develop efficient real-time solutions
• > Preliminary analysis time reduction by automating daily testing and maintenance of automation repository

May 2017 – Jul 2017 · 2 mos · Bangalore · On-site

• > Configured firm proprietary module for significant test-time reduction with open-source auto-testing
• > Developed unit-test automation for module APIs. Contributed to related ongoing team work-items

Nov 2016 – Jul 2017 · 8 mos

Sep 2016 – Jul 2017 · 10 mos

• I designed school activities for kids relating to History, to show the kids it's relevance and importance in our lives.

Oct 2016 – Jul 2017 · 9 mos