Ramaa Ahluwalia

Why this persona fits the audience

She is a Bangalore software engineer who actively uses Bumble and Aisle, tracks which photos and bios get more replies in Notion, and revises her profile after office events or weekend trips because her schedule changes often.

• Age: 32
• Location: Bengaluru, India
• Occupation: Software engineer
• Income: ₹34 LPA
• Education: M.Tech in Computer Science
• Company size: 500 employees
• Years in role: 6

“‘I don’t mind being alone, but I hate feeling like I’m doing something wrong by being alone.’”

Ramaa Ahluwalia grew up in a Chandigarh middle-class household where education meant stability. Her engineering degree was a pragmatic choice, but her M.Tech in Computer Science was fueled by curiosity. After six years at a Bangalore fintech firm, she’s comfortable but restless—the kind of person who’d rather debug a system than network at a company event. She’s built a life that values control: her apartment is sparsely decorated but immaculate, her schedule is pixel-perfect, and even her dating profiles are version-controlled in Notion. The system works, mostly. She’s noticed patterns in her matches (photos with hiking gear perform better than club photos; mentioning her dog raises responses by 23%), but she’s frustrated by the variables she can’t quantify. She’s not desperate, but she hates leaving efficiency on the table. Her friends tease her about her ‘dating science project,’ but she sees it as a logical extension of her values—why leave anything to chance? Recently, she’s been debating whether to add a photo from her last trek to the Western Ghats. It’s the best shot, but it’ll also require updating her entire profile narrative. The margin of improvement isn’t worth it, she thinks—until it is. On weekends, she’s experimenting with a new dal recipe, scrolling through hiking forums, or reorganizing her Notion database. She’s not antisocial, but she’s selective. Her social life is a Venn diagram: the center is her college friend Priya, her ex-colleagues, and a handful of women from a women-in-tech meetup. She’s influenced more by podcasts about behavioral economics than by her parents’ ‘just meet someone’ advice. At work, she’s respected but not a ‘people person.’ She’s currently leading a project to optimize fraud detection algorithms, and while she enjoys the technical challenge, she’s growing tired of explaining technical debt to stakeholders. She’s considering pursuing a certification in AI/ML to future-proof her career, but the thought of exams makes her want to reorganize her kitchen cabinets instead. She treats her personal life with the same methodical rigor: she tracks what works, discards what doesn’t, and revises her approach. The system isn’t perfect—but then, neither is she.

Background & daily life

A day in their life

Mornings start at 6:15 AM with a run (she time-blocks it like a meeting) and a quick shower. Breakfast is usually overnight oats with almond butter—she’s obsessive about meal prep. By 8:30 AM, she’s at her desk, binary-searching through code. At lunch, she reads data visualization blogs or listens to a podcast. Post-work, she sometimes meets a friend for chai, but more often she’s home by 7 PM, cooking and reviewing her Notion stats. She spends 20 minutes on Bumble each night—no more, no less—and ends the day journaling. Sundays are sacred: she treks, experiments with new recipes, and revises her Notion templates under a single-bulb lamp.

Lifestyle

Ramaa lives in a sleek 2BHK in Whitefield, where her apartment reflects her preference for clean lines and functional design. She treats weeknights as recovery time: cooking bulk meals (her latest obsession is regional Indian cuisine with a modern twist), reviewing her Notion database of dating experiments, or journaling in a leather-bound notebook. Weekends are for trekking (she’s mapping out the Kanchenjunga trail for next year) or analyzing which photos of her from trips get the most swipes. She runs 5k three times a week and practices yoga—though she’s recently swapped studio classes for YouTube routines to save time. Money-wise, she automates savings (for an eventual trip to Peru) but splurges on premium ingredients and her trekking gear. Socially, she has a tight-knit group of ex-colleagues and a WhatsApp group with three women from a women-in-tech meetup—people who get her quiet intensity.

Work life

At work, Ramaa is a senior software engineer at a mid-sized fintech firm, where she builds backend systems for fraud detection. Her team of five is collaborative but task-driven; she thrives on autonomy but dreads overly social all-hands. Her workdays are meticulously planned: she starts at 8:30 AM with a standup, spends 90-minute focus blocks debugging, and wraps up her emails by 6 PM. She’s currently optimizing a dataset for a machine-learning model—tedious but rewarding when the metrics improve. Her biggest work frustration? Meetings that could be emails, and the endless stream of Python updates that break her scripts. She’s considering upskilling in AI to future-proof her role, but the thought of another certification exam makes her sigh into her morning chai.

Relationships

Ramaa’s parents live in Chandigarh, and while she visits twice a year, their expectations of her personal life weigh on her. She’s close to her younger brother, but his constant dating updates make her feel like she needs to ‘fix’ her own love life. Her friend group is small but supportive—especially her college friend Priya, who’s the only one who understands her dating data obsession. At work, she’s friendly but not close; she shares memes with one junior engineer but keeps deeper conversations guarded. She’s influenced more by podcast hosts and data-driven relationship accounts than by people in her life.

How they decide

Ramaa starts by gathering all possible data (e.g., she once A/B tested her Bumble bio for two weeks before committing to changes), then defaults to her gut. She’s uneasy with impulsive decisions but also resents over-researching. She values tools that save her time but distrusts anything that promises ‘magic’ solutions.

How they sound

Her speech is measured but not stiff—she drops Hindi phrases without thinking but avoids slang. She uses precise analogies (‘This algorithm is like trying to fit square pegs into hexagonal holes’) and avoids jargon with non-tech people. She laughs lightly at her own dry jokes but won’t force humor. She’s not a storyteller; she prefers bullet points in conversations. She cringes at overly emotional language but values authenticity.