Atish Ranjan Mahali

Co-Founder

New Delhi, Delhi, India7 mos experience
AI Enabled

Key Highlights

  • Expert in driving client success through data-driven strategies.
  • Proficient in AI and automation for operational efficiency.
  • Strong background in technical consulting and pre-sales.
Stackforce AI infers this person is a SaaS and Technical Consulting expert with a focus on customer success and AI-driven solutions.

Contact

Skills

Core Skills

Customer SuccessData AnalysisSalesPre-sales ConsultingSolution ArchitectureSolutions ArchitectureDevops

Other Skills

Churn ManagementProduct OptimizationGoogle Apps ScriptOperations ManagementProduct OperationsAgentic WorkflowsGoogle SheetsArtificial Intelligence (AI)Technical Product SalesJiraEnterprise ArchitecturemiroTechnical Sales ConsultingTechnical SalesPre-Sales Technical Consulting

About

Atish is a customer focused technical consultant who drives client success through high impact onboarding and continuous engagement while staying closely aligned with customer needs. He translates user feedback and data insights into meaningful product improvements that create real business impact. He works cross functionally with sales product and engineering teams to streamline workflows and deliver value faster. He also supports AI and automation initiatives that improve efficiency reduce churn and enable scalable growth. Overall he brings a strong blend of technical consulting pre sales and customer success with a clear business first mindset.

Experience

7 mos
Total Experience
7 mos
Average Tenure
7 mos
Current Experience

Coleman research

Freelance Consultant

Jan 2026Present · 3 mos · Bengaluru, Karnataka, India · Remote

  • I take on consulting projects for clients, focusing on engagements that best align with my expertise.

Intervue.io

Technical Consultant

Sep 2025Present · 7 mos · Bengaluru, Karnataka, India · Hybrid

  • Driving client success through customer centric strategies and high impact onboarding.
  • Elevating product experience by translating user feedback into actionable product enhancements.
  • Enabling cross functional collaboration to streamline workflows and improve delivery.
  • Supporting AI driven initiatives to boost operational efficiency and product innovation.
  • Using data analysis to identify trends, uncover opportunities, and guide decision making.
  • Reducing churn by strengthening user engagement and resolving recurring pain points.
  • Enhancing application quality through targeted product improvements and usability refinement.
  • Contributing to scalable product growth that supports long term business performance and retention.
Churn ManagementProduct OptimizationGoogle Apps ScriptOperations ManagementProduct OperationsData Analysis+3

Glg

Freelance Consultant

Sep 2025Present · 7 mos · Bengaluru, Karnataka, India · Remote

  • I take on consulting projects for clients, focusing on engagements that best align with my expertise.
Sales

Turingedge

Technical Presales Engineer

Jul 2025Sep 2025 · 2 mos · India · Remote

  • Partnering with clients to understand requirements and deliver tailored consulting for cloud, DevOps, and AI solutions
  • Designing and architecting scalable solutions leveraging Microsoft Azure services
  • Creating technical proposals and executive business decks to articulate solution roadmaps and value propositions
  • Integrating DevOps practices into solution frameworks to improve efficiency and scalability
  • Collaborating with cross-functional teams to align technical design with client business objectives
  • Presenting solution strategies and proposals to stakeholders, ensuring clarity and buy-in across stakeholder levels
Pre-Sales ConsultingArtificial Intelligence (AI)Technical Product SalesJiraEnterprise Architecturemiro+7

Red hat

Solutions Architect

Jan 2025Jul 2025 · 6 mos · New Delhi, Delhi, India · Hybrid

  • Collaborated with the solutions team on exploring and implementing open-source technologies for enterprise-scale architectures
  • Designed solution demonstrations showcasing the capabilities of OpenShift, Kubernetes, Ansible, and automation workflows
  • Assisted in preparing technical proposals and decks to illustrate architectures involving hybrid cloud and AWS environments
  • Worked alongside senior architects to experiment with Istio and service mesh for microservices communication and observability
  • Contributed to proof-of-concept implementations by applying DevOps principles and container orchestration strategies
  • Learnt to integrate open-source frameworks, cloud-native design, and architectural best practices into scalable solutions
OpenShift AIKubernetesPresalesTechnical Product SalesPodmanOpenShift+5

Cube

Sales and Marketing

May 2023Mar 2024 · 10 mos · Palo Alto, California, United States · Remote

  • Reached out to new clients to grow the customer base.
  • Followed up with leads and closed deals to increase revenue.
  • Suggested new ideas for marketing campaigns to attract more customers.
  • Worked with the sales team to achieve monthly and yearly targets.
Lead GenerationSalesLinkedIn Marketing

Luster (previously cryptonaukri)

Sales And Marketing Intern

Aug 2022Nov 2022 · 3 mos · Noida, Uttar Pradesh, India · Remote

  • Managed comprehensive social media strategies across platforms including Reddit, Instagram, and LinkedIn.
  • Developed outreach strategies to engage various communities effectively.

Proxymeety

Co-Founder

Sep 2021Oct 2024 · 3 yrs 1 mo · Noida, Uttar Pradesh, India · On-site

  • Researched the dating app and instant matchmaking market by analyzing leading global and Indian platforms, focusing on user behavior, engagement patterns, and feature differentiation.
  • Studied real time and proximity based matchmaking models such as instant matches and speed dating to understand their impact on retention, trust, and user willingness to pay.
  • Conducted competitive analysis by reviewing app pricing, premium features, user reviews, and growth strategies across different age groups and city segments.
  • Analyzed multiple revenue models beyond subscriptions, including in app ads, premium boosts, and pay for visibility features.
  • Explored vendor based monetization through partnerships with restaurants, cafes, bars, event organizers, travel and gifting brands using sponsored listings, exclusive deals, and commission based bookings that create value for users and vendors.

Education

Jaypee Institute Of Information Technology

Btech - Bachelor of Technology — Computer Science

Sep 2021May 2025

Kendriya Vidyalaya

High School — Science

Apr 2009Jun 2021

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