Jul 2024 – Present · 1 yr 8 mos

• Making AI implementation digestible for your business!
• We are a small team helping small businesses and enterprises in cutting down their time and labour costs. From training your teams to deploying smart solutions, we integrate AI into your business DNA with:
• 1:1 GenAI LIVE Trainings
• Agentic AI and Autonomous Agents
• Secure Chatbot Development
• SM(B/E)Consultancy
• Shoot DM for more details ☕️

Jan 2023 – Present · 3 yrs 2 mos

• We make complex AI concepts byte-sized digestible through fun learning content.

Jun 2022 – Dec 2022 · 6 mos

• Taking a break from the corporate world, I discovered the joy of self-exploration and personal growth, which was challenging to achieve amidst a regular 9-5 routine. My time away allowed me to focus on self-improvement and develop skills in areas I'm passionate about. Here's what I accomplished during this period:
• Established a consistent and disciplined routine for my new venture.
• Engaged in introspective conversations with myself.
• Explored and identified my interests and passions.
• Adopted a minimalist lifestyle.
• Learned effective methods for focus and learning.
• Developed financial discipline.
• Practiced mindfulness.
• This journey led to a heightened awareness of my choices and helped me return stronger, ready to launch my own venture

Nov 2021 – May 2022 · 6 mos · New York, United States · Remote

• Experience building aspect based sentiment and hit correctness models using BERT transformers
• Experience with NLP models and frameworks such as HuggingFace, SpaCy, nltk, NER
• Applying machine learning, natural language processing(NLP) and information visualisation techniques such as clustering, topic modelling, text embedding, text summarisation & tokenisation to analyse news articles from multiple sources
• Worked alongside to build state of the art solutions for financial entities based on user feedback
• Data extraction using elastic search and checking the quality of the data and labels

Sep 2019 – Jan 2021 · 1 yr 4 mos · Abu Dhabi, United Arab Emirates

• Worked with ETL, analysis, multiple data visualization tools, drawing insights of the data, building dashboards and reports generations
• Worked with web scraping, Web APIs, different frameworks of Python
• Single handedly managing most of the projects and reporting to Project Manager and PowerPoint and video presentations to CTO
• Main Projects
• Built an analytics platform which helps in designing multiple charts and dashboards
• Built API to analyze the traffic flow and vehicle counting for the csv file generated by TIRTL with an aim to predict the vehicle count each lane basis using dash-plotly platform, time-series modelling and image recognition for RAK transportation authority
• Built smart locker software API for commercial buildings which helps in drop-in and receive parcels using pin code along with the key feature of analytics using Django framework and flexmonster service
• ANPR detection which captures the number plate on cars and display the following offers under which category the car is eligible for the offer and it opens the barrier for car wash company
• Debugging queries and problem solving for Web API for POC project of ADNOC
• Other Projects
• Built company website

Mar 2019 – Mar 2022 · 3 yrs · Dubai, United Arab Emirates

• Built real time ai virtual canvas using Open CV
• Built handtracking model which can be reused in multiple models using OpenCV
• Built a dashboard to analyze daily, weekly, monthly sales to estimate future sales for a restaurant using plotly
• Building an optical recognition software for Id cards, passports, pan cards, medical reports and income statements and facial recognition for KYC documents using deep learning
• Built a time series model to forecast the decline of viewership of newly launched TV show
• Built stock price model by training data using machine learning algorithms and MetaTrader5 to predict stock prices

Feb 2016 – Aug 2017 · 1 yr 6 mos · Gurgaon, India

• Validating commercial general liability and auto liability loss summaries and performing frequency and severity analysis on claims data. Overseeing new members of the team, providing them technical training.
• Analysing loss data and exposure data, determining appropriate exposure to be used for pricing of different lines of businesses and providing insights from these analysis to the pricing actuaries to help them create pricing models.
• Aggregating losses for commercial general and auto liability (US), summarizing by policy year and validating the consistency of results based on prior year’s data.

Jul 2014 – Aug 2017 · 3 yrs 1 mo · Delhi

• Trainer for Microsoft Excel (Basic & Advance)
• Taught Actuarial Exams and Bsc.(H) Maths Undergrads
• Taught School Level Maths

Jan 2014 – Feb 2014 · 1 mo · Itl Tower, Nsp, New Delhi

• - 2 months internship as Chief Security Office