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Resume

Education​

Experience​

Circutiry.ai - Head of Engineering​

JAN 2024 - PRESENT

  • Oversee the product engineering team, fostering a culture of innovation and excellence.
  • Lead the development and implementation of advanced AI solutions, including machine learning models and large language models (LLMs), to enhance decision-making in manufacturing.
  • Collaborate closely with cross-functional teams to ensure the delivery of high-quality, impactful products.
  • Drive strategic initiatives and contribute to the overall growth and success of Circuitry.ai.

Propellor.ai - C.T.O​

Jan 2020 - DEC 2023

  • Building technology capabilities, platforms and products for the Company Thinkbumblebee.
  • Oversee the day-to-day engineering efforts of the company targeted towards building capabilities, platforms and products for ThinkBumblebee and its product Propellor.ai.
  • Architect 3-tier serverless web application using AWS services by picking the right set of stack from AWS. Currently working with 40+ different AWS services for propellor.ai web application to mitigate use-cases such as concurrency, auto-scaling, VPC, elasticache (Redis), Lambda functions, etc.
  • Planning sprints and Roadmap for the product development by documenting business requirements and developing demo application as a proof of concept before going live.
  • Provide technical options to the delivery team in terms of technology, methodology, algorithms, and tools.
  • Ensuring a scalable and future-ready centrally planned architecture for the Company’s platforms and products. Develop a second line of engineers who can eventually manage the architecture.
  • Ensure the enterprise security of Thinkbumblebee. The overall responsibility of securing and protecting all the technical assets, data, Intellectual Property, product documentation, workflow security (including emails, website, slack, etc.), security of storage of company data across third-party apps.
  • Spearhead the DevOps in the company. Set up a practice across the organization that automates the development processes across various teams in order to enable them to build, test, and release software/products/platforms faster and in a more reliable way. Gradually build a DevOps function in the company, mentor, nurture and grow the function.

Thinkbumblebee Analytics Private Limited - Data Scientist​

DECEMBER 2017 - MARCH 2019

  • Understand client requirements/business objectives and track ongoing transactional data to draw insights from it. Also provide suggestions useful to optimize results. Does statistical analysis and providing consultancy according to the requirement of clients for launching/re-launching of products.
  • Writing complex SQL queries to access data from databases for applying transformation and reshaping using Pandas.
  • Hands-on experience with analysis techniques such as RFM, Apriori, CART, SVM, EM, KNN, and Naive Bayes.
  • Evaluating important metrics such as SKU performance, clustering of members, Value of an outlet, Churn rate analysis.
  • Experience in using visual programming toolkits such as KNIME, Orange3, and RapidMiner for front-end exploratory data analysis and interactive data visualization.
  • Does statistical analysis using techniques like Regression analysis, cluster analysis, Factor analysis, Correspondence analysis, etc.
  • Play a key role in handling statistical analysis of primary and secondary research projects by delivering analytical reports. Prepare client presentation and reports for explaining business Inferences and statistical tools & techniques used.
  • Developing an RFM model to identify major parts which are causing maximum cost impact.
  • Synthesize methodology and data into actionable business strategy, and communicate findings to product, engineering, and management teams.
  • Use statistical and econometric techniques on large datasets to measure results and show key trends, impact, and attribution and to model & predict future fitness performance of users or products.
  • Experience with common data science Libraries and packages such as Pandas, NumPy, SciPy, Scikit-learn, and Matplotlib depending on specific project requirements.
  • Hands-on experience with Machine Learning frameworks such as TensorFlow and Keras.
  • IoT project: Airport and Airline Analytics
    • Transformed Historical data of 16 months from 3000+ IoT devices across 3 Airports into data lake for analysis and reporting. Scheduled CRON jobs for daily ETL workloads.
    • Used AWS tools like s3 as data lake, AWS Glue jobs, Dev-endpoints, and Athena to perform ETL operations.
    • Implemented a s3 lifecycle policy to reduce the storage cost.
    • Calculate KPIs for On-time performance, reduce Turnaround-time, improve belt utilization and Bay utilization, Equipment Utilization, and compliance check.
    • Developed a web-based analytics tool by leading a 5 member team in creating 50 KPIs across 5 different dashboards with Role-based access controls.
  • Deep Learning project: CyclicGAN for speech style Synthesis for BJP
    • A regression problem of estimating a mapping function from source to target speech style.
    • With this model, forward and inverse mappings are simultaneously learned using an adversarial loss and cycle-consistency loss. This makes it possible to find an optimal pseudo pair from unpaired data.
    • To extract speech style of Narendra Modi's voice tone weights by training Generators and Discriminators.
    • Used Pydub and Pyaudio for audio signal operations and Audio signal processing is done using Librosa library.
    • Extensive use of TensorFlow for building BLSTM.
  • Analysis project: QSR Demand and Insights
    • K-means clustering based on customer RFM scores for creating easier targeting buckets for the marketing team.
    • Identifying Address sentence frequency using NLTK and mapping with google maps JSON for classifying the addresses into Home and Commercial.
    • Developed a single view of the business on a BI tool called DOMO.
    • Develop Recommendation Engine for food orders using Apriori Algorithm by location.
    • Deploying real-time Machine Learning solution using AWS Sagemaker, Lambda function, and API Gateway.
    • Used Intel Distribution for Python as an interpreter to achieve approx 30x faster compilation.

Stratfit, Hyderabad, India. - Software Engineer/Product Manager​

SEPTEMBER 2016 - NOVEMBER 2017

  • Collaborate and work closely with cross-functional business partners to identify gaps and structure/structural problems.
  • Responsibilities include creating meaningful presentations and analyses that tell a story focused on insights of workout, marathons, aerobics, Olympic sports, and not just the fitness data.
  • Synthesize methodology and data into actionable business strategy, and communicate findings to product, engineering, and management teams.
  • Use statistical and econometric techniques on large datasets to measure results and show key trends, impact, and attribution and to model & predict future fitness performance of users or products.
  • Write and interpret complex SQL queries for standard as well as ad hoc data analysis purposes.
  • Building Prediction as an API for dynamic pricing, analyzing data from Google Analytics and Flury Analytics for consolidated reporting.
  • Used attribution software such as Appsflyer for capturing custom metrics for web and app analytics.
  • Theoretical knowledge about convolution and recurrent neural networks.