Shubham Kharche

Software Engineer

Pune, Maharashtra, India5 yrs 4 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 5+ years in scalable backend systems development.
  • Expertise in AI-driven product architecture.
  • Proven leadership in team mentoring and innovation.
Stackforce AI infers this person is a SaaS backend engineer with strong AI and microservices expertise.

Contact

Skills

Core Skills

MicroservicesAi AgentsSoftware Development

Other Skills

AI-based chatbotAI-driven toolsAWS EMRAWS KinesisAlgorithmsAmazon Web Services (AWS)Big DataCC++CeleryContainerizationData StructuresDatabricksDjangoFlask

About

Senior Software Engineer with 5+ years of experience building scalable, high-performance backend systems and AI-driven products. Proven track record of leading teams, architecting microservices, and delivering impactful solutions across GenAI, vector databases, large-scale data processing, and cloud platforms. Adept at bridging product vision with engineering execution while mentoring teams and driving innovation.

Experience

5 yrs 4 mos
Total Experience
2 yrs 8 mos
Average Tenure
4 yrs 7 mos
Current Experience

Clootrack

3 roles

Software Development Engineer III

Jan 2024Present · 2 yrs 5 mos · Remote

  • Led a team and actively contributed to the end-to-end design and development of ProbeTrack, an AI-driven tool for analyzing interviews and survey data.
  • Designed and developed a core microservice for EDA (Exploratory Data Analysis), enabling efficient handling of terabytes of data in an Excel-like interface.
  • Spearheaded the design and development of preprocessing workflows and answer generation flow for Genie, an AI chatbot, including improvements in the RAG flow accuracy for handling qualitative queries.
  • Conducted multiple Proof of Concepts (PoCs) to evaluate and identify suitable technologies and infrastructure components during the design phase.
  • Collaborated with product teams for requirement gathering, mentored junior developers, optimized resource utilization, and resolved critical bugs.
AI-driven toolsmicroservicesdata processingRAG flowProof of ConceptsMicroservices+1

Senior Software Engineer (SDE-II)

Promoted

Mar 2022Jan 2024 · 1 yr 10 mos · Remote

  • Developed core features for the company’s flagship product, AskClootrack, an AI-based chatbot.
  • Led the integration of AskClootrack with legacy internal systems to ensure seamless functionality across the organization.
  • Implemented strategic refactoring and process optimizations, significantly improving service efficiency and reducing cloud resource consumption.
  • Conducted technical interviews to assess candidates for software development roles.
  • Reviewed code and mentored new developers and interns, fostering a collaborative and growth-oriented team environment.
AI-based chatbotintegrationrefactoringprocess optimizationsAI AgentsMicroservices

Software Engineer

Nov 2021Mar 2022 · 4 mos · Remote

  • Optimized multiple scripts and modules by redesigning algorithms, resulting in reduced costs and improved execution times.
  • Enhanced the consistency and reliability of complex data processing workflows by eliminating redundancies and refining algorithms.
  • Conducted multiple Proof of Concepts (PoCs) using open-source solutions to evaluate feasibility based on product requirements.
algorithm optimizationdata processing workflows

D. e. shaw india private limited

Member Technical

Jul 2017Apr 2018 · 9 mos · Hyderabad, Telangana, India · On-site

  • Developed and managed robust, scalable software for high-volume, latency-sensitive systems critical to the firm, using Python, NumPy, Java, MySQL, and Perl in an agile development environment.
  • Designed and implemented scripts from scratch to process large datasets efficiently, leveraging internal libraries for ultra-frequency trading.
PythonJavaMySQLPerlSoftware Development

Amazon

Software Development Engineer Intern

May 2016Jul 2016 · 2 mos · Greater Hyderabad Area · On-site

  • Designed and implemented a feature in Java to predict delivery failures caused by incorrect addresses, leveraging zip5 code-associated metadata.
  • Utilized AWS Kinesis for real-time processing of daily records and AWS EMR for batch processing of millions of records.
  • Automated workflows using DJS to streamline processing and improve efficiency.
JavaAWS KinesisAWS EMRSoftware Development

Education

Malaviya National Institute Of Technology,Jaipur

Bachelor of Technology (B.Tech.) — Computer Science and Engg.

Jan 2013Jan 2017

Shri Samarth Junior College of Science, Akola

Jan 2011Jan 2013

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