V

Vaibhav Gandotra

Software Engineer

Bangalore, Karnataka, India5 yrs 1 mo experience
Most Likely To Switch

Key Highlights

  • Experienced in building scalable backend systems.
  • Proficient in machine learning and data engineering.
  • Strong foundation in software design and development.
Stackforce AI infers this person is a Backend Developer with expertise in Machine Learning and SaaS applications.

Contact

Skills

Core Skills

Software DesignBackend DevelopmentMachine Learning

Other Skills

AWSAirflowData EngineeringData ScienceDockerElasticSearchFlowableGolangJavaJavaScriptKafkaMongoDBMySQLNLPNoSQL

About

I'm a Software Engineer with 4 yrs of experience graduated from BITS Pilani. Passionate about solving complex tech problems and building scalable products. Open for interesting opportunities in India, Europe and South East Asia for building great products. You can reach out to me at vaibhavgandotra99@gmail.com.

Experience

2 yrs 11 mos

IEEE

Present

Salesforce

Member of Technical Staff

Oct 2024Present · 1 yr 5 mos · Bengaluru, Karnataka, India

Coinswitch

Software Engineer, Backend

Dec 2022May 2024 · 1 yr 5 mos · Bengaluru, Karnataka, India · On-site

  • Building for new initiatives at Coinswitch.
  • Teams: Identity, Auth, New Initiatives(Mutual Funds)
  • Tech Stack: Golang, Python, Java, Postgres, AWS -[SQS, Lambda, EventBridge], SQL, Nosql Flowable (Open Source)
Software DesignGolangPythonJavaPostgresAWS+4

Vymo

Member Of Technical Staff, ML

Jun 2021Nov 2022 · 1 yr 5 mos · Bengaluru, Karnataka, India

  • I was one of the founding developer in the ML team at Vymo. Primarily worked as a backend developer/ ML Engineer but wore multilple hats as a data scientist/ data engineer at times.
  • My job was to take full ownership for delivering real-time/batch based ML features in the Vymo app.
  • Apart from the technical skills, understood and discovered various behaviours of a sales guy by mining data, experimentation, A/B testing, client interactions and introduced features in the product which helped some of the largest sales teams in the world increase their efficiencies and conversion ratios using the power of AI.
  • 1. Designed and developed two backend services , one of which was the ML powerhouse and other one was an etl based service.
  • 2. Developed a system of automated ML pipelines leveraging airflow where the entire flow from drawing raw data to publishing models, monitoring them and corresponding changes in backend/ui via APIs and interaction with the config store were catered.
  • 3. Worked as a Data Scientist for a short time in one of the features, starting from the hypothesis upto the productisation.
  • 4. Worked on data pipelines from time to time as per the requirement of the features.
  • 5. Migrated features from cron based jobs to realtime using kafka.
  • 6. Productised 3 major features: Lead prioritisation, Lead Allocation, Nudges (ML based NBAs).
  • 7. Took care of MLOps , setting up airflow pipelines, seperate workers, VMs etc.
  • 8. Took ~100 interviews for MTS/SMTS for engineering hiring.
  • Tech stack: Java, Python(FastAPI), Kafka, Airflow, MySQL, ElasticSearch, MongoDB, Javascript, Docker, Object Oriented Design, System Design, AWS
  • Couldn't have asked for a better first job:)
JavaPythonKafkaAirflowMySQLElasticSearch+8

Bny mellon

Intern- Data Science, Data Insights

Jul 2020Dec 2020 · 5 mos · Pune, Maharashtra, India

  • Developed the backend code for a dashboard to track the performance of Business Segments for the Issues, KPIs raised by clients, and made a supervised model using raw data of issue lifecycle.
  • Used Natural Language Processing to identify anomalies in issue tagging and do Topic Extraction(Sentiment Analysis).
  • Used regression models for benchmarking the target for issue closing. Identified phrases using various Python libraries, probabilistic models, and mathematical statistics.
  • Skills: Python, NLP, Pentaho ETL, MySQL, Data Science, Power BI
PythonNLPPentaho ETLMySQLData SciencePower BI

Samsung electronics

Intern - Software Engineering, Enterprise Solutions R&D

May 2020Jul 2020 · 2 mos

  • Worked with Context aware security(CAS) team on malware detection in Android applications in Samsung Galaxy phones.
  • Enhanced performance of device theft authentication using better features and models, hence decreasing FRR(False Rejection Rate) by 2%.

Birla institute of technology and science, pilani

2 roles

Teaching Assistant

Jan 2020Jun 2020 · 5 mos

  • Microelectronic Circuits
  • Taught analog circuit simulation in LTSpice and resolved doubts for a class of approx. 280 students.
  • Helped in the evaluation of the practical examination as well as in other logistics.

Teaching Assistant

Jan 2020Jun 2020 · 5 mos

  • Microprocessors Programming and Interfacing
  • Conducted the lab sessions based on MASM programming for two classes of 60 students each.
  • Created videos for teaching Proteus and helped in the evaluation of lab assignments.

Indian institue of public administration, delhi

Intern - Research, E- Governance Cell, GOI

May 2019Jul 2019 · 2 mos · Greater Delhi Area

  • Studied Cybersecurity issues in Artificial Intelligence and IoT stages taking cases of many well-coordinated attacks.
  • Published a research paper on the topic "Cybersecurity and Smart Cities: Establishing the Need for Capacity Building" in Cybernomics.

Education

Birla Institute of Technology and Science, Pilani

B.E. (Hons.) Electronics & Instrumentation

Jan 2017Jan 2021

B.S.B.M School, New Delhi- All India Senior Secondary Certificate Examination

Jan 2015Jan 2017

Bal Vikas School, Panipat

Jan 2003Jan 2015

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